AI and Video Game Development: Navigating the Future Frontier (Ep. 264) [RB]

Data Science at Home

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محتوای ارائه شده توسط Francesco Gadaleta. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Francesco Gadaleta یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Species Unite

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Richard (Kudo) Couto: The Hidden Horror Behind a Billion-Dollar Brand 42:18

۷ روز پیش42:18

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پسندیدن

دوست داشته شد

42:18

“I used to be the largest dairy consumer on the planet. I used to eat so much dairy and meat. The more that I looked into the dairy industry, the more that I saw that it was the singular, most inhumane industry on the planet, that we've all been lied to, including myself, for years. I always believed that the picture on the milk carton, the cow standing next to her calf in the green field with the red barn in the back was true. It’s certainly the complete opposite.” – Richard (Kudo) Couto Richard (Kudo) Couto is the founder of Animal Recovery Mission (ARM), an organization solely dedicated to investigating extreme animal cruelty cases. ARM has led high-risk undercover operations that have resulted in the shutdown of illegal slaughterhouses, animal fighting rings, and horse meat trafficking networks. Recently, they released a damning investigation into two industrial dairy farms outside of Phoenix, Arizona supplying milk to Coca-Cola’s Fairlife brand. What they uncovered was systemic animal abuse, environmental violations, and a devastating betrayal of consumer trust. While Fairlife markets its products as being sourced "humanely," ARM’s footage tells a very different story—one of suffering, abuse, and corporate complicity. Despite the evidence, this story has been largely ignored by mainstream media—likely due to Coca-Cola’s massive influence and advertising dollars.…

حدود یک سال پیش 47:56

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From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment!

AI and Video Game Development: Navigating the Future Frontier (Ep. 264) [RB]

Data Science at Home

published حدود یک سال پیش

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AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280) 55:46

27 روز پیش55:46

55:46

🎙️ In this episode of Data Science at Home, we sit down with Kenny Vaneetvelde, the mastermind behind Atomic Agents, a groundbreaking framework redefining AI development. 🔍 Discover how atomicity simplifies complex AI systems, why modularity matters more than ever, and how Atomic Agents is eliminating hidden assumptions and redundant complexity in AI workflows. 💡 From real-world applications to the tech stack behind the framework, Kenny takes us on a deep dive into this lightweight, powerful tool for creating consistent and brand-aligned AI. 🔥 Whether you’re a seasoned developer or just AI-curious, this conversation is packed with insights you don’t want to miss. 📌 Timestamps: 0:00 - Intro 2:30 - Kenny’s journey in AI 5:00 - What are Atomic Agents? 10:45 - Why atomicity matters in AI 18:20 - The tech behind Atomic Agents: Instructor, Pydantic & more 25:00 - Real-world use cases and future vision 40:45 - Advice for AI developers and businesses 📲 Check out Atomic Agents on GitHub: https://github.com/BrainBlend-AI/atomic-agents https://brainblendai.com/ 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyvaneetvelde/ 💬 Got questions? Drop them in the comments! Don’t forget to like, subscribe, and share this episode with your fellow AI enthusiasts. #AI #AtomicAgents #DataScience #Podcast…

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Run massive models on crappy machines (Ep. 279) 47:10

۵ weeks پیش47:10

47:10

AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on "crappy machines"—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough. With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere. By democratizing AI, we can empower individuals and small teams to experiment, create, and solve problems without needing deep pockets or enterprise-grade resources. AI for everyone, on everything. Let’s make it happen. ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

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WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278) 51:47

۵ weeks پیش51:47

51:47

Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs? Enter WeightWatcher—the AI detective tool that peeks inside neural networks without needing their data. In this episode, we chat with its creator, Dr. Charles Martin, to uncover what makes LLMs tick, the hidden patterns inside models like GPT-4 and DeepSeek, and whether AI is headed for a breakthrough—or a bottleneck. If you’re into cutting-edge AI, you won’t want to miss this one! ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

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Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 277) 17:33

۶ weeks پیش17:33

17:33

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing here are my thoughts about AI replacing programmers... ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

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Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276) 48:55

19 weeks پیش48:55

48:55

In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods. Tune in for a masterclass in leveraging data for impact and innovation! Links https://blueorange.digital/ https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/ https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/…

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Autonomous Weapons and AI Warfare (Ep. 275) 17:43

20 weeks پیش17:43

17:43

Here’s the updated text with links to the websites included: AI is revolutionizing the military with autonomous drones, surveillance tech, and decision-making systems. But could these innovations spark the next global conflict? In this episode of Data Science at Home, we expose the cutting-edge tech reshaping defense—and the chilling ethical questions that follow. Don’t miss this deep dive into the AI arms race! 🎧 LISTEN / SUBSCRIBE TO THE PODCAST Apple Podcasts Podbean Podcasts Player FM Chapters 00:00 - Intro 01:54 - Autonomous Vehicles 03:11 - Surveillance And Reconnaissance 04:15 - Predictive Analysis 05:57 - Decision Support System 08:24 - Real World Examples 10:42 - Ethical And Strategic Considerations 12:25 - International Regulation 13:21 - Conclusion 14:50 - Outro ✨ Connect with us! 🎥Youtube: https://www.youtube.com/@DataScienceatHome 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: Francesco Gad 📷 Instagram: https://www.instagram.com/datascienceathome/ 📘 Facebook: https://www.facebook.com/datascienceAH 💼 LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast 💬 Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com . 📫 SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! #DataScienceAtHome #ArtificialIntelligence #AI #MilitaryTechnology #AutonomousDrones #SurveillanceTech #AIArmsRace #DataScience #DefenseInnovation #EthicsInAI #GlobalConflict #PredictiveAnalysis #AIInWarfare #TechnologyAndEthics #AIRevolution #MachineLearning…

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8 Proven Strategies to Scale Your AI Systems Like OpenAI! 🚀 (Ep. 274) 17:23

21 weeks پیش17:23

17:23

In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 8 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techniques will transform your infrastructure. Hit play to learn how the pros do it and apply it to your own projects! LISTEN / SUBSCRIBE TO THE PODCAST YouTube: https://www.youtube.com/@DataScienceatHome Apple Podcasts: https://podcasts.apple.com/us/podcast/data-science-at-home/id1069871378 Podbean Podcasts: https://datascienceathome.podbean.com/ Player Fm: https://player.fm/series/data-science-at-home-2600992 Chapters 00:00 Intro 00:34 Scalability Strategies 01:08 Stateless Services 02:47 Horizontal Scaling 04:51 Load Balancing 06:14 Auto Scaling 07:41 Caching 09:27 Database Replication 11:07 Database Sharding 12:54 Async Processing 14:50 Infographics RESOURCES & LINKS Data Science at home: https://datascienceathome.com Amethix Technologies: https://amethix.com CONNECT WITH US! Instagram: https://www.instagram.com/datascienceathome/ Twitter: @datascienceathome Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com…

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Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273) 49:33

23 weeks پیش49:33

49:33

In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida. Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social media to news. How reliable are current detection tools like DetectGPT? What are the ethical and technical challenges ahead as AI continues to advance? And is the balance between innovation and regulation tipping in the right direction? Tune in for insights on the future of AI text detection and the broader implications for media, academia, and policy. Chapters 00:00 - Intro 00:23 - Guests: Souradip Chakraborty and Amrit Singh Bedi 01:25 - Distinguish Text Generation By AI 04:33 - Research on Safety and Alignment of Generative Model 06:01 - Tools to Detect Generated AI Text 11:28 - Water Marking 18:27 - Challenges in Detecting Large Documents Generated by AI 23:34 - Number of Tokens 26:22 - Adversarial Attack 29:01 - True Positive and False Positive of Detectors 31:01 - Limit of Technologies 41:01 - Future of AI Detection Techniques 46:04 - Closing Thought Subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome…

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AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272) 18:56

24 weeks پیش18:56

18:56

Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor. In this episode, I’ll break down the bold (and often bizarre) claims in Altman’s grand speech for the Intelligence Age. I’ll give you the real scoop on what’s realistic, what’s nonsense, and why some tech billionaires just can’t resist overselling. Think AI’s all-knowing, all-powerful future is just around the corner? Let’s see if we can spot the fairy dust. Strap in, grab some popcorn, and get ready to see past the hype! Chapters 00:00 - Intro 00:18 - CEO of Baidu Statement on AI Bubble 03:47 - News On Sam Altman Open AI 06:43 - Online Manifesto "The Intelleigent Age" 13:14 - Deep Learning 16:26 - AI gets Better With Scale 17:45 - Conclusion On Manifesto Still have popcorns? Get some laughs at https://ia.samaltman.com/ #AIRealTalk #NoHypeZone #InvestorBaitAlert…

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AI vs. The Planet: The Energy Crisis Behind the Chatbot Boom (Ep. 271) 22:28

25 weeks پیش22:28

22:28

In this episode of Data Science at Home, we dive into the hidden costs of AI’s rapid growth — specifically, its massive energy consumption. With tools like ChatGPT reaching 200 million weekly active users, the environmental impact of AI is becoming impossible to ignore. Each query, every training session, and every breakthrough come with a price in kilowatt-hours, raising questions about AI’s sustainability. Join us, as we uncovers the staggering figures behind AI's energy demands and explores practical solutions for the future. From efficiency-focused algorithms and specialized hardware to decentralized learning, this episode examines how we can balance AI’s advancements with our planet's limits. Discover what steps we can take to harness the power of AI responsibly! Check our new YouTube channel at https://www.youtube.com/@DataScienceatHome Chapters 00:00 - Intro 01:25 - Findings on Summary Statics 05:15 - Energy Required To Querry On GPT 07:20 - Energy Efficiency In BlockChain 10:41 - Efficicy Focused Algorithm 14:02 - Hardware Optimization 17:31 - Decentralized Learning 18:38 - Edge Computing with Local Inference 19:46 - Distributed Architectures 21:46 - Outro #AIandEnergy #AIEnergyConsumption #SustainableAI #AIandEnvironment #DataScience #EfficientAI #DecentralizedLearning #GreenTech #EnergyEfficiency #MachineLearning #FutureOfAI #EcoFriendlyAI #FrancescoFrag #DataScienceAtHome #ResponsibleAI #EnvironmentalImpact…

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Love, Loss, and Algorithms: The Dangerous Realism of AI (Ep. 270) 24:25

26 weeks پیش24:25

24:25

Subscribe to our new channel https://www.youtube.com/@DataScienceatHome In this episode of Data Science at Home, we confront a tragic story highlighting the ethical and emotional complexities of AI technology. A U.S. teenager recently took his own life after developing a deep emotional attachment to an AI chatbot emulating a character from Game of Thrones. This devastating event has sparked urgent discussions on the mental health risks, ethical responsibilities, and potential regulations surrounding AI chatbots, especially as they become increasingly lifelike. 🎙️ Topics Covered: AI & Emotional Attachment: How hyper-realistic AI chatbots can foster intense emotional bonds with users, especially vulnerable groups like adolescents. Mental Health Risks: The potential for AI to unintentionally contribute to mental health issues, and the challenges of diagnosing such impacts. Ethical & Legal Accountability: How companies like Character AI are being held accountable and the ethical questions raised by emotionally persuasive AI. 🚨 Analogies Explored: From VR to CGI and deepfakes, we discuss how hyper-realism in AI parallels other immersive technologies and why its emotional impact can be particularly disorienting and even harmful. 🛠️ Possible Mitigations: We cover potential solutions like age verification, content monitoring, transparency in AI design, and ethical audits that could mitigate some of the risks involved with hyper-realistic AI interactions. 👀 Key Takeaways: As AI becomes more realistic, it brings both immense potential and serious responsibility. Join us as we dive into the ethical landscape of AI—analyzing how we can ensure this technology enriches human lives without crossing lines that could harm us emotionally and psychologically. Stay curious, stay critical, and make sure to subscribe for more no-nonsense tech talk! Chapters 00:00 - Intro 02:21 - Emotions In Artificial Intelligence 04:00 - Unregulated Influence and Misleading Interaction 06:32 - Overwhelming Realism In AI 10:54 - Virtual Reality 13:25 - Hyper-Realistic CGI Movies 15:38 - Deep Fake Technology 18:11 - Regulations To Mitigate AI Risks 22:50 - Conclusion #AI#ArtificialIntelligence#MentalHealth#AIEthics#podcast#AIRegulation#EmotionalAI#HyperRealisticAI#TechTalk#AIChatbots#Deepfakes#VirtualReality#TechEthics#DataScience#AIDiscussion #StayCuriousStayCritical…

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VC Advice Exposed: When Investors Don’t Know What They Want (Ep. 269) 17:57

27 weeks پیش17:57

17:57

Ever feel like VC advice is all over the place? That’s because it is. In this episode, I expose the madness behind the money and how to navigate their confusing advice! Watch the video at https://youtu.be/IBrPFyRMG1Q Subscribe to our new Youtube channel https://www.youtube.com/@DataScienceatHome 00:00 - Introduction 00:16 - The Wild World of VC Advice 02:01 - Grow Fast vs. Grow Slow 05:00 - Listen to Customers or Innovate Ahead 09:51 - Raise Big or Stay Lean? 11:32 - Sell Your Vision in Minutes? 14:20 - The Real VC Secret: Focus on Your Team and Vision 17:03 - Outro…

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AI Says It Can Compress Better Than FLAC?! Hold My Entropy 🍿 (Ep. 268) 21:05

28 weeks پیش21:05

21:05

Can AI really out-compress PNG and FLAC? 🤔 Or is it just another overhyped tech myth? In this episode of Data Science at Home, Frag dives deep into the wild claims that Large Language Models (LLMs) like Chinchilla 70B are beating traditional lossless compression algorithms. 🧠💥 But before you toss out your FLAC collection, let's break down Shannon's Source Coding Theorem and why entropy sets the ultimate limit on lossless compression. We explore: ⚙️ How LLMs leverage probabilistic patterns for compression 📉 Why compression efficiency doesn’t equal general intelligence 🚀 The practical (and ridiculous) challenges of using AI for compression 💡 Can AI actually BREAK Shannon’s limit—or is it just an illusion? If you love AI, algorithms, or just enjoy some good old myth-busting, this one’s for you. Don't forget to hit subscribe for more no-nonsense takes on AI, and join the conversation on Discord! Let’s decode the truth together. Join the discussion on the new Discord channel of the podcast https://discord.gg/4UNKGf3 Don't forget to subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome References Have you met Shannon? https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/…

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What Big Tech Isn’t Telling You About AI (Ep. 267) 19:15

30 weeks پیش19:15

19:15

Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll break down Gary Marcus’s demands for more openness and what consumers should know about the AI products shaping their lives. Check our new YouTube channel https://www.youtube.com/@DataScienceatHome and Subscribe! Cool links https://mitpress.mit.edu/9780262551069/taming-silicon-valley/ http://garymarcus.com/index.html…

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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner [RB] (Ep. 266) 41:21

30 weeks پیش41:21

41:21

We're revisiting one of our most popular episodes from last year, where renowned financial expert Chris Skinner explores the future of money. In this fascinating discussion, Skinner dives deep into cryptocurrencies, digital currencies, AI, and even the metaverse. He touches on government regulations, the role of tech in finance, and what these innovations mean for humanity. Now, one year later, we encourage you to listen again and reflect—how much has changed? Are Chris Skinner's predictions still holding up, or has the financial landscape evolved in unexpected ways? Tune in and find out!…

Data Science at Home

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Kaggle Kommando’s Data Disco: Laughing our Way Through AI Trends (Ep. 265) [RB] 42:46

31 weeks پیش42:46

42:46

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary! Sponsors Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience 🔗 Links Mentioned in the Episode: Generative AI for time series: TimeGPT Documentation Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible) Open source LLM: Olmo Blog Post Quantization for LLM: Hugging Face Guide And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)…

Data Science at Home

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AI and Video Game Development: Navigating the Future Frontier (Ep. 264) [RB] 47:56

31 weeks پیش47:56

47:56

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research. From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment! Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. References https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game https://discord.gg/yaXgYZ5Ymn - Discord server for the game https://aimodels.substack.com/ - Mike’s newsletter (links to website too)…

Data Science at Home

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LLMs: Totally Not Making Stuff Up (they promise) (Ep. 263) 28:06

32 weeks پیش28:06

28:06

In this episode, we dive into the wild world of Large Language Models (LLMs) and their knack for… making things up. Can they really generalize without throwing in some fictional facts? Or is hallucination just part of their charm? Let’s separate the genius from the guesswork in this insightful breakdown of AI’s creativity problem. TL;DR; LLM Generalisation without hallucinations. Is that possible? References https://github.com/lamini-ai/Lamini-Memory-Tuning/blob/main/research-paper.pdf https://www.lamini.ai/blog/lamini-memory-tuning…

Data Science at Home

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AI: The Bubble That Might Pop—What’s Next? (Ep. 262) 26:04

35 weeks پیش26:04

26:04

The hype around Generative AI is real, but is the bubble about to burst? Join me as we dissect the recent downturn in AI investments and what it means for the tech giants like OpenAI and Nvidia. Could this be the end of the AI gold rush, or just a bump in the road? References http://garymarcus.com/index.html https://garymarcus.substack.com/p/why-the-collapse-of-the-generative?r=8tdk6&utm_source=substack&utm_medium=email https://www.theinformation.com/articles/openai-makes-a-60-million-hardware-startup-bet?utm_source=substack&utm_medium=email…

Data Science at Home

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Data Guardians: How Enterprises Can Master Privacy with MetaRouter (Ep. 261) 32:27

39 weeks پیش32:27

32:27

In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically. Join us as we chat with the Vice President of Engineering at MetaRouter, a cutting-edge platform enabling enterprises to regain control over their customer data. We explore how MetaRouter empowers businesses to manage data in a 1st-party context, ensuring ethical, compliant handling while navigating the complexities of privacy regulations. Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months References https://www.metarouter.io/post/mastering-data-governance-why-governance-at-the-point-of-collection-is-a-must-have https://hubs.ly/Q02HwJly0 https://www.metarouter.io/post/why-privacy-sandbox-is-a-good-paradigm-shift-for-consumers…

Data Science at Home

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Low-Code Magic: Can It Transform Analytics? (Ep. 260) 33:45

41 weeks پیش33:45

33:45

Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms. Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs. David shares insights on overcoming common challenges, enhancing data governance, and success stories from organizations thriving with Panoply. Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months References Connect and analyze ALL of your data https://panoply.io/ https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence Blog: The Transformative Power of an All-in-One Data Platform Whitepaper: Eradicating Platform Inefficiencies…

Data Science at Home

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Do you really know how GPUs work? (Ep. 259) 36:17

46 weeks پیش36:17

36:17

Join us in this exciting episode of the Data Science at Home podcast. It's all about GPUs. We'll take you on a journey through the inner workings of these powerful processors, explaining how they handle complex computations and drive everything from gaming graphics to scientific simulations. Whether you're a budding programmer or a tech enthusiast, understanding GPUs is key to unlocking new levels of performance and efficiency in your projects. Tune in and get ready to turbocharge your tech knowledge! Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.…

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Harnessing AI for Cybersecurity: Expert Tips from QFunction (Ep. 258) 34:33

47 weeks پیش34:33

34:33

In this episode, we sit down with Ryan Smith, Founder of QFunction LLC , to explore how AI and machine learning are revolutionizing cybersecurity. With over 8 years of experience, including work at NASA's Jet Propulsion Laboratory, Ryan shares insights on the future of threat detection and prevention, the challenges businesses face in maintaining effective cybersecurity, and the ethical considerations of AI implementation. Learn about cost-effective strategies for small businesses, the importance of collaboration in combating cyber threats, and how QFunction tailors its AI solutions to meet diverse industry needs. Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. QFunction does cybersecurity differently. By relying on scientific breakthroughs in AI and machine learning, QFunction works within your existing security stack to detect anomalies and threats within your data References QFunction Blog Threat Hunting Firewall Logs Threat Hunting Linux Logs QFunction GitHub…

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Rust in the Cosmos Part 4: What happens in space? (Ep. 257) 29:24

49 weeks پیش29:24

29:24

In this last episode of the series "Rust in the Cosmos" we speak about what happens in space, what projects are currently active and what happened in the past that we can learn from? What about Rust and space applications? As always, let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities Intrepid AI, AeroRust, Bytenook Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf…

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Rust in the Cosmos Part 3: Embedded programming for space (Ep. 256) 44:36

52 weeks پیش44:36

44:36

In this episode of "Rust in the Cosmos" we delve into the challenges of building embedded applications for space. Did you know that once you ship your app to space... you can't get it back? :P What role is Rust playing here? Let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf…

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Rust in the Cosmos Part 2: testing software in space (Ep. 255) 32:50

1 year پیش32:50

32:50

In this episode of "Rust in the Cosmos" we delve into the challenge of testing software for... ehm ... space How can Rust help? Let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Open-source GitHub workflows/actions - https://docs.github.com/en/actions Gitlab CI - https://docs.gitlab.com/ee/ci/ Alternatives Circle ci - https://circleci.com/ Travis http://travis-ci.com Dagger.io - https://dagger.io Actions https://github.com/dtolnay/rust-toolchain https://github.com/taiki-e/install-action https://github.com/marketplace/actions/install-cargo-binstall Additional tools: https://github.com/nextest-rs/nextest https://github.com/cargo-bins/cargo-binstall Jon Gjengset - Towards Impeccable Rust Lechev.space: lechev.space…

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Rust in the Cosmos Part 1: Decoding Communication (Ep. 254) 26:16

1 year پیش26:16

26:16

In this inaugural episode of "Rust in the Cosmos," we delve into the intricacies of communication in space and some of the challenges in space application development. Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.…

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AI and Video Game Development: Navigating the Future Frontier (Ep. 253) 47:56

1 year پیش47:56

47:56

Data Science at Home

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Kaggle Kommando's Data Disco: Laughing our Way Through AI Trends (Ep. 252) 42:46

1 year پیش42:46

42:46

Data Science at Home

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Revolutionizing Robotics: Embracing Low-Code Solutions (Ep. 251) 19:16

1 year پیش19:16

19:16

In this episode of Data Science at Home , we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics! Sponsors Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience…

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Is SQream the fastest big data platform? (Ep. 250) 57:16

1 year پیش57:16

57:16

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility. Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science. Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects. Tune in for a dose of GPU-powered revolution! References SQream - GPU-based Big Data Platform Patents Assigned to SQREAM TECHNOLOGIES LTD…

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OpenAI CEO Shake-up: Decoding December 2023 (Ep. 249) 27:30

1 year پیش27:30

27:30

In this episode from a month ago, join me as we unravel the controversial CEO firing at OpenAI in December 2023. I share my insights on the events, decode the intricacies, and explore what lies ahead for this influential organization. Don't miss this concise yet insightful take on the intersection of leadership and artificial intelligence innovation. Sponsor Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience…

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Careers, Skills, and the Evolution of AI (Ep. 248) 32:27

1 year پیش32:27

32:27

!!WARNING!! Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the dynamic intersection of AI and education. Richie, a seasoned expert in data science and the host of the podcast, brings together a wealth of knowledge and experience to explore the evolving landscape of AI careers, the skills essential for generative AI technologies, and the symbiosis of domain expertise and technical skills in the industry. References Become a generative AI developer in this FREE code-along series. Learn to build a chatbot using the OpenAI API, the Pinecone API, and LangChain, and learn to build NLP and image applications with Hugging Face. https://www.datacamp.com/ai-code-alongs Learn to use ChatGPT and the OpenAI API in the OpenAI Fundamentals skill track. https://www.datacamp.com/tracks/openai-fundamentals Get started with deep learning using PyTorch in the Introduction to Deep Learning with PyTorch course. https://www.datacamp.com/courses/introduction-to-deep-learning-with-pytorch…

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Open Source Revolution: AI’s Redemption in Data Science (Ep. 247) 36:47

1 year پیش36:47

36:47

Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open source software. In this thought-provoking discussion, I share my insights on why now, more than ever, is the opportune moment for open source to leave an indelible mark on the field of AI. Join me as I unpack my opinions and set expectations for the near future, discussing the pivotal role open source is set to play in shaping the landscape of data science and artificial intelligence. Don't miss out—tune in to gain a deeper understanding of this revolutionary intersection! This episode is available as YouTube stream at https://www.youtube.com/live/0Enenz1HqIs?si=woyYdjJVz656BneH&t=915…

Data Science at Home

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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner [RB] (Ep. 246) 41:21

1 year پیش41:21

41:21

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead. You can read about Chris at https://thefinanser.com/ Sponsors This episode is sponsored by Setapp. Setapp is a platform that combines 230+ powerful MacOS and iOS apps and tools under one $9.99 subscription. Their selection of apps is mostly helpful for people who use their Macs as an actual working tool, covering complete use cases like coding, designing, project and time management and so on. Once subscribed, you get full access to paid features of the apps, as well as to new apps that are being constantly added. So you’ll always be sure you’re not missing out on any cool apps and services that actually help you do your work more efficiently for just a fraction of the price. Get 7 days for free at https://stpp.co/dsat…

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Debunking AGI Hype and Embracing Reality [RB] (Ep. 245) 59:29

1 year پیش59:29

59:29

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen. Filip Piekniewski Bio Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements. Sponsors Finally, a better way to do B2B research. NewtonX The World’s Leading B2B Market Research Company Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. References https://twitter.com/filippie509 http://blog.piekniewski.info/ ( On limits of deep learning and where to go next with AI.)…

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Destroy your toaster before it kills you. Drama at OpenAI and other stories (Ep. 244) 26:01

1 year پیش26:01

26:01

Brace yourselves, dear friends! In this episode, we delve into the earth-shattering revelation that OpenAI might have stumbled upon AGI (lol) and we're all just seconds away from being replaced by highly sophisticated toasters (lol lol). Spoiler alert: OpenAI's CEO is just playing 7D chess with the entire human race. So, sit back, relax, and enjoy this totally not ominous exploration into the 'totally not happening' future of AI!…

Data Science at Home

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The AI Chip Chat 🤖💻 (Ep. 243) 32:10

1 year پیش32:10

32:10

Dive into the cool world of AI chips with us! 🚀 We're breaking down how these special computer chips for AI have evolved and what makes them different. Think of them like the superheroes of the tech world! Don't miss out! 🎙️🔍 #AIChips #TechTalk #SimpleScience

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Rolling the Dice: Engineering in an Uncertain World (Ep. 242) 22:44

1 year پیش22:44

22:44

Hey there, engineering enthusiasts! Ever wondered how engineers deal with the wild, unpredictable twists and turns in their projects? In this episode, we're spilling the beans on uncertainty and why it's the secret sauce in every engineering recipe, not just the fancy stuff like deep learning and neural networks! Join us for a ride through the world of uncertainty quantification. Tune in and let's demystify the unpredictable together! 🎲🔧🚀 References https://www.osti.gov/servlets/purl/1428000 https://arc.aiaa.org/doi/pdf/10.2514/6.2010-124 https://arxiv.org/pdf/2001.10411…

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How Language Models Are the Ultimate Database(Ep. 241) 26:26

۲ years پیش26:26

26:26

In this episode, dive deep into the world of Language Models as we decode their intricate structure, revealing how these powerful algorithms exploit concepts from the past. But... what if LLMs were just a database? References https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering

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Elon is right this time: Rust is the language of AI (Ep. 240) 24:05

۲ years پیش24:05

24:05

In this episode, I delve into Elon Musk's foresight on the future of AI as he champions Rust programming language. Here is why Rust stands at the forefront of AI technology and the potential it holds. References https://github.com/WasmEdge/mediapipe-rs https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341…

Data Science at Home

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Attacking LLMs for fun and profit (Ep. 239) 22:14

۲ years پیش22:14

22:14

As a continuation of Episode 238, I explain some effective and fun attacks to conduct against LLMs. Such attacks are even more effective on models served locally, that are hardly controlled by human feedback. Have great fun and learn them responsibly. References https://www.jailbreakchat.com/ https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/ https://arxiv.org/abs/2305.13860…

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Unlocking Language Models: The Power of Prompt Engineering (Ep. 238) 28:08

۲ years پیش28:08

28:08

Join me on an enlightening journey through the world of prompt engineering. Explore the multifaceted skills and strategies involved in harnessing the potential of large language models for various applications. From enhancing safety measures to augmenting models with domain knowledge, learn how prompt engineering is shaping the future of AI. References https://arxiv.org/pdf/2109.01652.pdf https://arxiv.org/abs/2201.11903 https://arxiv.org/abs/2302.00923 https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job…

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Erosion of Software Architecture Quality in the Age of AI Code Generation (Ep. 237) 23:51

۲ years پیش23:51

23:51

In this era of AI-powered code generation, software architects are facing a concerning decline in the quality of their creations. The once meticulously crafted software architectures are now being compromised. Should LLMs be responsible? References Program Design in the UNIX Environment https://harmful.cat-v.org/cat-v/unix_prog_design.pdf…

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The new dimension of AI: Vector Databases (Ep. 236) 27:16

۲ years پیش27:16

27:16

Let's delve into the emerging trend in database design – or is it really a new trend? The realm of vector databases and their revolutionary influence on AI and ML is making headlines. Come along as we investigate how these groundbreaking databases are revolutionizing the landscape of data storage, retrieval, and processing, ultimately unlocking the complete potential of artificial intelligence and machine learning. But are they genuinely as innovative as they seem? References https://partee.io/2022/08/11/vector-embeddings/ https://blog.det.life/why-you-shouldnt-invest-in-vector-databases-c0cd3f59d23c https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3…

Data Science at Home

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Building Self Serve Business Intelligence With AI and LLMs at Zenlytic (Ep. 235) 47:37

۲ years پیش47:37

47:37

In this episode, we dive into the world of data analytics and artificial intelligence with Ryan, the CEO, and Paul, the CTO of Zenlytic. Having graduated from Harvard and with extensive backgrounds in venture capital, consulting, and data engineering, Ryan and Paul provide valuable insights into their journey of building Zenlytic, a cutting-edge analytics platform. Join us as we explore how Zenlytic's natural language interface enhances user experiences, enabling seamless access and analysis of analytics data. Discover how their self-service platform empowers teams to leverage business intelligence effectively, and learn about the unique features that set Zenlytic apart from other analytics platforms in the market. Delve into the crucial aspects of data security and privacy while granting team access, and find out how Zenlytic's analytics capabilities have transformed companies into data-driven decision-makers, ultimately improving their performance. References Zenlytic Website: https://www.zenlytic.com/product AI Will Save the World (a16z): https://a16z.com/2023/06/06/ai-will-save-the-world/ Llama AI (ai.meta.com): https://ai.meta.com/llama/ "Llama 2: Open Foundation and Fine-Tuned Chat Models" (arxiv.org): https://arxiv.org/abs/2307.09288 "GPT-4 Technical Report" (arxiv.org): https://arxiv.org/abs/2303.08774…

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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner (Ep. 234) 41:21

۲ years پیش41:21

41:21

Data Science at Home

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Debunking AGI Hype and Embracing Reality (Ep. 233) 59:29

۲ years پیش59:29

59:29

Data Science at Home

1
Full steam ahead! Unraveling Forward-Forward Neural Networks (Ep. 232) 23:35

۲ years پیش23:35

23:35

In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. From self-driving cars to personalized medicine, discover the cutting-edge applications that are propelling us into a new era of AI greatness. Get ready to unlock the secrets of Forward-Forward Neural Networks and witness the future of artificial intelligence unfold before your eyes. Don't miss out – tune in now and be part of the AI revolution! Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. References The Forward-Forward Algorithm: Some Preliminary Investigations…

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The LLM Battle Begins: Google Bard vs ChatGPT (Ep. 231) 25:03

۲ years پیش25:03

25:03

Brace yourselves as we uncover the mind-blowing AI model, Google Bard, that's poised to challenge ChatGPT and other conversational AI systems. Join us as we explore the revolutionary features of Bard, its cutting-edge architecture, and its ability to generate human-like responses. Discover why AI enthusiasts are buzzing with excitement. References: [1] [2] [3] Sponsors Finally, a better way to do B2B research. NewtonX The World's Leading B2B Market Research Company References Google Unveils Palm-2: Its Revolutionary AI Model. https://datascientest.com/en/google-unveils-palm-2-its-revolutionary-ai-model Google AI - Discover Palm-2 https://ai.google/discover/palm2/ "Palm-2: A Large Scale Language Model for Conversational AI." ArXiv preprint arXiv:2305.10403 (2023). https://arxiv.org/abs/2305.10403…

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Unleashing the Force: Blending Neural Networks and Physics for Epic Predictions (Ep. 230) 30:56

۲ years پیش30:56

30:56

In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models. Join us as we unravel the mysteries behind PINNs and their potential to revolutionize various scientific and engineering domains. We'll discuss the underlying principles that enable these networks to incorporate physical laws and constraints, resulting in enhanced predictions and a deeper understanding of complex systems. Sponsors This episode is supported by Mimecast - the email security solution that every business needs. With Mimecast, you get a security solution that is specifically designed for email and workplace collaboration. Head to mimecast.com for a free trial. References Physics Informed Deep Learning https://maziarraissi.github.io/PINNs/…

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AI’s Impact on Software Engineering: Killing Old Principles? [RB] (Ep. 229) 13:54

۲ years پیش13:54

13:54

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explore the pros and cons of this paradigm shift and discuss what it means for the future of software development. Sponsors Bloomberg At Bloomberg, they solve complex, real-world problems for customers across the global capital markets. From real-time market data to sophisticated analytics, powerful trading tools, and more, Bloomberg engineers work with systems that operate at scale. If you're a software engineer looking for an exciting and fulfilling career, head over to bloomberg.com/careers to learn more. Arctic Wolf Cybercriminals are evolving. Their techniques and tactics are more advanced, intricate, and dangerous than ever before. Industries and governments around the world are fighting back, unveiling new regulations meant to better protect data against this rising threat. Arctic Wolf — the leader in security operations — is on a mission to end cyber risk by giving organizations the protection, information, and confidence they need to protect their people, technology, and data. Visit arcticwolf.com/datascience to take your first step.…

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Warning! Mathematical Mayhem Ahead: Demystifying Liquid Time-Constant Networks (Ep. 228) 20:59

۲ years پیش20:59

20:59

Hold on to your calculators and buckle up for a wild mathematical ride in this episode! Brace yourself as we dive into the fascinating realm of Liquid Time-Constant Networks (LTCs), where mathematical content reaches new heights of excitement. In this mind-bending adventure, we demystify the intricacies of LTCs, from complex equations to mind-boggling mathematical concepts, we break them down into digestible explanations. References https://www.science.org/doi/10.1126/scirobotics.adc8892 https://spectrum.ieee.org/liquid-neural-networks#toggle-gdpr…

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Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227) 33:50

۲ years پیش33:50

33:50

Get ready for an eye-opening episode! 🎙️ In our latest podcast episode, we dive deep into the world of LoRa (Low-Rank Adaptation) for large language models (LLMs). This groundbreaking technique is revolutionizing the way we approach language model training by leveraging low-rank approximations. Join us as we unravel the mysteries of LoRa and discover how it enables us to retrain LLMs with minimal expenditure of money and resources. We'll explore the ingenious strategies and practical methods that empower you to fine-tune your language models without breaking the bank. Whether you're a researcher, developer, or language model enthusiast, this episode is packed with invaluable insights. Learn how to unlock the potential of LLMs without draining your resources. Tune in and join the conversation as we unravel the secrets of LoRa low-rank adaptation and show you how to retrain LLMs on a budget. Listen to the full episode now on your favorite podcast platform! 🎧✨ References LoRA: Low-Rank Adaptation of Large Language Models https://arxiv.org/abs/2106.09685 Low-rank approximation https://en.wikipedia.org/wiki/Low-rank_approximation Attention is all you need https://arxiv.org/pdf/1706.03762.pdf…

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Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226) 43:42

۲ years پیش43:42

43:42

This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey. We'll delve into the benefits of running models locally, such as increased speed, improved privacy and security, and greater customization and flexibility. We'll also discuss the technical requirements and considerations for running these models on your own hardware, and provide practical tips and advice to get you started. Join us as we uncover the secrets to unleashing the full potential of large language models and taking your AI game to the next level! Sponsors AI-powered Email Security Best-in-class protection against the most sophisticated attacks, from phishing and impersonation to BEC and zero-day threats https://www.mimecast.com/ References https://agi-sphere.com/llama-models/ https://crfm.stanford.edu/2023/03/13/alpaca.html https://beebom.com/how-run-chatgpt-like-language-model-pc-offline/ https://sharegpt.com/ https://stability.ai/…

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Rust: A Journey to High-Performance and Confidence in Code at Amethix Technologies (Ep. 225) 27:16

۲ years پیش27:16

27:16

The journey of porting our projects to Rust was intense, but it was a decision we made to improve the quality of our software. The migration was not an easy task, as it required a considerable amount of time and resources. However, it was worth the effort as we have seen significant improvements in code reusability, code cleanliness, and performance. In this episode I will tell you why you should consider taking that journey too.…

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The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224) 35:32

۲ years پیش35:32

35:32

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks. First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components. Next, we turn our attention to Generative Graph Models, which enable the creation of new graph structures that are similar to those in a given dataset. We discuss the inner workings of these models and their potential applications in fields such as drug discovery and social network analysis. Finally, we delve into the essential Pooling Mechanism, which allows for the efficient passing of information across different parts of the graph neural network. We examine the various types of pooling mechanisms and their advantages and disadvantages. Whether you're a seasoned graph neural network expert or just starting to explore the field, this episode has something for you. So join us for a deep dive into the power and potential of Graph Neural Networks. References Machine Learning with Graphs - http://web.stanford.edu/class/cs224w/ A Comprehensive Survey on Graph Neural Networks - https://arxiv.org/abs/1901.00596…

Data Science at Home

1
The Power of Graph Neural Networks: Understanding the Future of AI - Part 1/2 (Ep.223) 27:40

۲ years پیش27:40

27:40

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data points in a graph structure. I also delve into the various real-world applications of GNNs, from drug discovery to recommendation systems, and how they are outperforming traditional machine learning models. Join me and demystify this exciting area of AI research and discover the power of graph neural networks.…

Data Science at Home

1
Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222) 24:39

۲ years پیش24:39

24:39

In this episode, we dive into the not-so-secret sauce of ChatGPT, and what makes it a different model than its predecessors in the field of NLP and Large Language Models. We explore how human feedback can be used to speed up the learning process in reinforcement learning, making it more efficient and effective. Whether you're a machine learning practitioner, researcher, or simply curious about how machines learn, this episode will give you a fascinating glimpse into the world of reinforcement learning with human feedback. Sponsors This episode is supported by How to Fix the Internet , a cool podcast from the Electronic Frontier Foundation and Bloomberg , global provider of financial news and information, including real-time and historical price data, financial data, trading news, and analyst coverage. References Learning through human feedback https://www.deepmind.com/blog/learning-through-human-feedback Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback https://arxiv.org/abs/2204.05862…

Data Science at Home

1
The promise and pitfalls of GPT-4 (Ep. 221) 29:38

۲ years پیش29:38

29:38

In this episode, we explore the potential of the highly anticipated GPT-4 language model and the challenges that come with its development. From its ability to generate highly coherent and creative text to concerns about ethical considerations and the potential misuse of such technology, we delve into the promise and pitfalls of GPT-4. Join us as we speak with experts in the field to gain insights into the latest developments and the impact that GPT-4 could have on the future of natural language processing.…

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