بهترین پادکست های Llm (2024)

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scikit-learn & data science you own 52:04

3d ago52:04

52:04

We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewar…

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Creating tested, reliable AI applications 50:09

5d ago50:09

50:09

It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent s…

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AI is changing the cybersecurity threat landscape 55:25

13d ago55:25

55:25

This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research & Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyb…

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The path towards trustworthy AI 51:46

20d ago51:46

51:46

Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Deve…

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Big data is dead, analytics is alive 50:21

26d ago50:21

50:21

We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lightin…

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Practical workflow orchestration 58:26

1M ago58:26

58:26

Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipeline…

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Towards high-quality (maybe synthetic) datasets 57:04

1M ago57:04

57:04

As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generatio…

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Understanding what's possible, doable & scalable 1:02:23

2M ago1:02:23

1:02:23

We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI …

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GraphRAG (beyond the hype) 55:04

2M ago55:04

55:04

Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data. Join the disc…

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Pausing to think about scikit-learn & OpenAI o1 50:12

2M ago50:12

50:12

Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data scien…

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Cybersecurity in the GenAI age 51:36

2M ago51:36

51:36

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps. Join the discussion Changelog++ members save 7 minutes on this episode because they made the…

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AI is more than GenAI 40:05

3M ago40:05

40:05

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how mod…

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Metrics Driven Development 42:14

3M ago42:14

42:14

How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode…

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Threat modeling LLM apps 54:40

3M ago54:40

54:40

If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more. Join the discussion …

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Only as good as the data 45:42

3M ago45:42

45:42

You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regula…

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Gaudi processors & Intel's AI portfolio 46:30

4M ago46:30

46:30

There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open sou…

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Broccoli AI at its best 🥦 42:33

4M ago42:33

42:33

We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-p…

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Hyperventilating over the Gartner AI Hype Cycle 55:11

4M ago55:11

55:11

This week Daniel & Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence. Join the disc…

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The first real-time voice assistant 43:23

4M ago43:23

43:23

In the midst of the demos & discussion about OpenAI’s GPT-4o voice assistant, Kyutai swooped in to release the first real-time AI voice assistant model and a pretty slick demo (Moshi). Chris & Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype…

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Vectoring in on Pinecone 44:13

5M ago44:13

44:13

Daniel & Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data. Joi…

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Stanford's AI Index Report 2024 47:06

5M ago47:06

47:06

We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more produc…

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Apple Intelligence & Advanced RAG 45:08

5M ago45:08

45:08

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive. Join the discussion Changelog++ memb…

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The perplexities of information retrieval 46:08

5M ago46:08

46:08

Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the info…

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Using edge models to find sensitive data 38:30

5M ago38:30

38:30

We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI. Join t…

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Rise of the AI PC & local LLMs 35:37

6M ago35:37

35:37

We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this …

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AI in the U.S. Congress 40:50

6M ago40:50

40:50

At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at GMU to pursue a Master’s degree in C.S. with a concentration in Machine Learning. Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus & Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act & a lead cosponso…

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First impressions of GPT-4o 43:30

6M ago43:30

43:30

Daniel & Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities. Join the discussion Changelog++ members save 4 m…

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Full-stack approach for effective AI agents 47:04

6M ago47:04

47:04

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learn…

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Autonomous fighter jets?! 41:13

7M ago41:13

41:13

Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI. Join the discussion Changelog++ members save 10 minutes on this episode because they m…

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Private, open source chat UIs 38:27

7M ago38:27

38:27

We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (lik…

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Mamba & Jamba 41:15

7M ago41:15

41:15

First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav. Join the discus…

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Udio & the age of multi-modal AI 38:54

7M ago38:54

38:54

2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities. Join the discuss…

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The book of Acts - To the Ends of the Earth - Week 8 29:29

7M ago29:29

29:29

Text: Acts 4:23–31 Topic: Fear, Temptation, Overcoming, Courage Big Idea of the Message: As the church moves forward, challenges from outside and within will occur to hinder God’s kingdom. Application Point: We must stand strong against any attempts to keep the kingdom from moving forward—and remain humble enough to confess our fears and sins. Disc…

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RAG continues to rise 48:21

8M ago48:21

48:21

Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference. Join the discussion Changelog++ members save 4 minutes on this episode because they made the ads disappear. Join today! Sponsors: T…

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Should kids still learn to code? 39:22

8M ago39:22

39:22

In this fully connected episode, Daniel & Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative…

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AI vs software devs 57:02

8M ago57:02

57:02

Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog. Join the discussion Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today! Sponsors: Neo4j – Is your code ge…

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Easter Eggs Week 3 30:47

8M ago30:47

30:47

Text: Psalm 22; Matthew 27:25, 39, 43; John 19:23-24, 28 Topic: Crucifixion Big Idea of the Message: King David penned Psalm 22 as the cry of a righteous sufferer, and it so aptly fits the circumstances of Jesus’ crucifixion that even He took it to His lips on the cross. Application Point: Similarly, we may not understand the purpose of our own tri…

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Prompting the future 46:01

8M ago46:01

46:01

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides exp…

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Easter Eggs Week 2 29:43

8M ago29:43

29:43

In addition to being a decorated or plastic egg, an "Easter Egg" is an unexpected feature in a piece of computer software or on a DVD, often included as a joke or a bonus. This 4-week series looks at the hidden "Easter Eggs" or prophecies about Jesus in the Old Testament, and what they mean for the Easter story today. Each week connects a specific …

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Easter Egg Week 1 28:51

8M ago28:51

28:51

In addition to being a decorated or plastic egg, an "Easter Egg" is an unexpected feature in a piece of computer software or on a DVD, often included as a joke or a bonus. This 4-week series looks at the hidden "Easter Eggs" or prophecies about Jesus in the Old Testament, and what they mean for the Easter story today. Each week connects a specific …

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Generating the future of art & entertainment 42:08

9M ago42:08

42:08

Runway is an applied AI research company shaping the next era of art, entertainment & human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text & image to video models. We hope you find Anastasis’s founder story as inspiring as …

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YOLOv9: Computer vision is alive and well 42:48

9M ago42:48

42:48

While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss adva…

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The Book of Acts: To the Ends of the Earth - Week 7 30:11

9M ago30:11

30:11

Text: Acts 4:13–22 Topic(s): Identity, Being, Doing Big Idea of the Message: Peter and John found their sense of identity in Christ. Application Point: Resist letting cultural pressure, politics, finances, popularity, or success become the source of your identity. Reflection Questions: 1. What is one thing that stood out to you from this week’s mes…

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Representation Engineering (Activation Hacking) 43:36

9M ago43:36

43:36

Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI. Join the discuss…

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The Book of Acts: To the Ends of the Earth - Week 6 26:17

9M ago26:17

26:17

Text: Acts 3:1–4:12 Topics: Jesus, Salvation, Power Big Idea of the Message: When the church was born through the Holy Spirit, the believers proclaimed the power of Jesus. Application Point: We shouldn’t try to sell our faith; instead, we should point people to Jesus and let the Spirit do the rest. Visit us at LLMC.org…

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Leading the charge on AI in National Security 52:05

9M ago52:05

52:05

Chris & Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities:…

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The Book of Acts: To the Ends of the Earth - Week 5 1:03:37

9M ago1:03:37

1:03:37

Text: Acts 2:42–47 Topic(s): Church, Community, Fellowship, Prayer, Generosity Big Idea of the Message: When the church was born through the Holy Spirit, the believers began to live differently and to devote themselves to God, his mission, and his church. This is our purpose: to be an alternate community of God’s grace in the world. Application Poi…

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Gemini vs OpenAI 43:31

9M ago43:31

43:31

Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc. We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean f…

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The Book of Acts: To the Ends of the Earth - Week 4 28:30

9M ago28:30

28:30

Text: Acts 2:14–41 Topics: Pentecost, Conversion, Salvation Big Idea of the Message: When the church was born through the Holy Spirit, the believers proclaimed the good news. Over three thousand people were saved, the church was born, and God’s kingdom began to impact Jerusalem. Application Point: Repent and believe the gospel today! Be baptized. S…

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Data synthesis for SOTA LLMs 46:41

10M ago46:41

46:41

Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.…

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