Data Brew Season 2 Episode 5: ML Applications

Data Brew by Databricks

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All About Change

1
Eli Beer & United Hatzalah: Saving Lives in 90 seconds or Less 30:20

۹ روز پیش30:20

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

30:20

Eli Beer is a pioneer, social entrepreneur, President and Founder of United Hatzalah of Israel. In thirty years, the organization has grown to more than 6,500 volunteers who unite together to provide immediate, life-saving care to anyone in need - regardless of race or religion. This community EMS force network treats over 730,000 incidents per year, in Israel, as they wait for ambulances and medical attention. Eli’s vision is to bring this life-saving model across the world. In 2015, Beer expanded internationally with the establishment of branches in South America and other countries, including “United Rescue” in Jersey City, USA, where the response time was reduced to just two minutes and thirty-five seconds. Episode Chapters (0:00) intro (1:04) Hatzalah’s reputation for speed (4:48) Hatzalah’s volunteer EMTs and ambucycles (5:50) Entrepreneurism at Hatzalah (8:09) Chutzpah (14:15) Hatzalah’s recruitment (18:31) Volunteers from all walks of life (22:51) Having COVID changed Eli’s perspective (26:00) operating around the world amid antisemitism (28:06) goodbye For video episodes, watch on www.youtube.com/@therudermanfamilyfoundation Stay in touch: X: @JayRuderman | @RudermanFdn LinkedIn: Jay Ruderman | Ruderman Family Foundation Instagram: All About Change Podcast | Ruderman Family Foundation To learn more about the podcast, visit https://allaboutchangepodcast.com/ Looking for more insights into the world of activism? Be sure to check out Jay’s brand new book, Find Your Fight , in which Jay teaches the next generation of activists and advocates how to step up and bring about lasting change. You can find Find Your Fight wherever you buy your books, and you can learn more about it at www.jayruderman.com .…

۴ سال پیش 32:40

MP3•خانه قسمت

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.
Good machine learning starts with high quality data. Irina Malkova shares her experience managing and ensuring high-fidelity data, developing custom metrics to satisfy business needs, and discusses how to improve internal decision making processes.
See more at databricks.com/data-brew

43 قسمت

#Databricks #Data Analytics #Apache Spark #Delta Lake #Machine Learning #Data Engineering #Artificial Intelligence #Tech #Data Science #Science #Lifestyle #Podcasting Education

Data Brew Season 2 Episode 5: ML Applications

Data Brew by Databricks

71 subscribers

published ۴ سال پیش

اشتراک گذاری

MP3•خانه قسمت

43 قسمت

#Databricks #Data Analytics #Apache Spark #Delta Lake #Machine Learning #Data Engineering #Artificial Intelligence #Tech #Data Science #Science #Lifestyle #Podcasting Education

همه قسمت ها

Data Brew by Databricks

1
Benchmarking Domain Intelligence | Data Brew | Episode 45 31:41

12 روز پیش31:41

31:41

In this episode, Pallavi Koppol, Research Scientist at Databricks, explores the importance of domain-specific intelligence in large language models (LLMs). She discusses how enterprises need models tailored to their unique jargon, data, and tasks rather than relying solely on general benchmarks. Highlights include: - Why benchmarking LLMs for domain-specific tasks is critical for enterprise AI. - An introduction to the Databricks Intelligence Benchmarking Suite (DIBS). - Evaluating models on real-world applications like RAG, text-to-JSON, and function calling. - The evolving landscape of open-source vs. closed-source LLMs. - How industry and academia can collaborate to improve AI benchmarking.…

Data Brew by Databricks

1
SWE-bench & SWE-agent | Data Brew | Episode 44 36:22

19 روز پیش36:22

36:22

In this episode, Kilian Lieret, Research Software Engineer, and Carlos Jimenez, Computer Science PhD Candidate at Princeton University, discuss SWE-bench and SWE-agent, two groundbreaking tools for evaluating and enhancing AI in software engineering. Highlights include: - SWE-bench: A benchmark for assessing AI models on real-world coding tasks. - Addressing data leakage concerns in GitHub-sourced benchmarks. - SWE-agent: An AI-driven system for navigating and solving coding challenges. - Overcoming agent limitations, such as getting stuck in loops. - The future of AI-powered code reviews and automation in software engineering.…

Data Brew by Databricks

1
Enterprise AI: Research to Product | Data Brew | Episode 43 38:03

26 روز پیش38:03

38:03

In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment. Highlights include: - The challenges of real-world AI—messy data, security, and scalability. - Why enterprises need high-accuracy, fine-tuned models over generic AI APIs. - How QuickFix learns from user edits to improve AI-driven coding assistance. - The collaboration between research & engineering in building AI-powered tools. - The evolving role of developers in the age of generative AI.…

Data Brew by Databricks

1
Multimodal AI | Data Brew | Episode 42 42:14

29 روز پیش42:14

42:14

In this episode, Chang She, CEO and Co-founder of LanceDB, discusses the challenges of handling multimodal data and how LanceDB provides a cutting-edge solution. He shares his journey from contributing to Pandas to building a database optimized for images, video, vectors, and subtitles. Highlights include: - The limitations of traditional storage systems like Parquet for multimodal AI. - How LanceDB enables efficient querying and processing of diverse data types. - The growing importance of multimodal AI in enterprise applications. - Future trends in AI, including a shift from single models to holistic AI systems. - Predictions and "spicy takes" on AI advancements in 2025.…

Data Brew by Databricks

1
Age of Agents | Data Brew | Episode 41 40:47

۶ weeks پیش40:47

40:47

In this episode, Michele Catasta, President of Replit, explores how AI-driven agents are transforming software development by making coding more accessible and automating application creation. Highlights include: - The difference between AI agents and copilots in software development. - How AI is democratizing coding, enabling non-programmers to build applications. - Challenges in AI agent development, including error handling and software quality. - The growing role of AI in entrepreneurship and business automation. - Why 2025 could be the year of AI agents and what’s next for the industry.…

Data Brew by Databricks

1
Reward Models | Data Brew | Episode 40 39:58

۷ weeks پیش39:58

39:58

In this episode, Brandon Cui, Research Scientist at MosaicML and Databricks, dives into cutting-edge advancements in AI model optimization, focusing on Reward Models and Reinforcement Learning from Human Feedback (RLHF). Highlights include: - How synthetic data and RLHF enable fine-tuning models to generate preferred outcomes. - Techniques like Policy Proximal Optimization (PPO) and Direct Preference Optimization (DPO) for enhancing response quality. - The role of reward models in improving coding, math, reasoning, and other NLP tasks. Connect with Brandon Cui: https://www.linkedin.com/in/bcui19/…

Data Brew by Databricks

1
Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39 45:22

11 weeks پیش45:22

45:22

In this episode, Andrew Drozdov, Research Scientist at Databricks, explores how Retrieval Augmented Generation (RAG) enhances AI models by integrating retrieval capabilities for improved response accuracy and relevance. Highlights include: - Addressing LLM limitations by injecting relevant external information. - Optimizing document chunking, embedding, and query generation for RAG. - Improving retrieval systems with embeddings and fine-tuning techniques. - Enhancing search results using re-rankers and retrieval diagnostics. - Applying RAG strategies in enterprise AI for domain-specific improvements.…

Data Brew by Databricks

1
The Power of Synthetic Data | Data Brew | Episode 38 42:28

13 weeks پیش42:28

42:28

In this episode, Yev Meyer, Chief Scientist at Gretel AI, explores how synthetic data transforms AI and ML by improving data access, quality, privacy, and model training. Highlights include: - Leveraging synthetic data to overcome AI data limitations. - Enhancing model training while mitigating ethical and privacy risks. - Exploring the intersection of computational neuroscience and AI workflows. - Addressing licensing and legal considerations in synthetic data usage. - Unlocking private datasets for broader and safer AI applications.…

Data Brew by Databricks

1
Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37 37:14

15 weeks پیش37:14

37:14

In this episode, Julia Neagu, CEO & co-founder of Quotient AI, explores the challenges of deploying Generative AI and LLMs, focusing on model evaluation, human-in-the-loop systems, and iterative development. Highlights include: - Merging reinforcement learning and unsupervised learning for real-time AI optimization. - Reducing bias in machine learning with fairness and ethical considerations. - Lessons from large-scale AI deployments on scalability and feedback loops. - Automating workflows with AI through successful business examples. - Best practices for managing AI pipelines, from data collection to validation.…

Data Brew by Databricks

1
Mixture of Memory Experts (MoME) | Data Brew | Episode 36 41:24

17 weeks پیش41:24

41:24

In this episode, Sharon Zhou, Co-Founder and CEO of Lamini AI, shares her expertise in the world of AI, focusing on fine-tuning models for improved performance and reliability. Highlights include: - The integration of determinism and probabilism for handling unstructured data and user queries effectively. - Proprietary techniques like memory tuning and robust evaluation frameworks to mitigate model inaccuracies and hallucinations. - Lessons learned from deploying AI applications, including insights from GitHub Copilot’s rollout. Connect with Sharon Zhou and Lamini: https://www.linkedin.com/in/zhousharon/ https://x.com/realsharonzhou https://www.lamini.ai/…

Data Brew by Databricks

1
Mixed Attention & LLM Context | Data Brew | Episode 35 39:11

24 weeks پیش39:11

39:11

In this episode, Shashank Rajput, Research Scientist at Mosaic and Databricks, explores innovative approaches in large language models (LLMs), with a focus on Retrieval Augmented Generation (RAG) and its impact on improving efficiency and reducing operational costs. Highlights include: - How RAG enhances LLM accuracy by incorporating relevant external documents. - The evolution of attention mechanisms, including mixed attention strategies. - Practical applications of Mamba architectures and their trade-offs with traditional transformers.…

Data Brew by Databricks

1
Kumo AI & Relational Deep Learning | Data Brew | Episode 34 43:27

29 weeks پیش43:27

43:27

In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering. Highlights include: - How RDL enhances predictive modeling. - Applications in fraud detection and recommendation systems. - The use of graph neural networks to simplify complex data structures.…

Data Brew by Databricks

1
LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33 38:50

۲ years پیش38:50

38:50

Our fifth season dives into large language models (LLMs), from understanding the internals to the risks of using them and everything in between. While we're at it, we'll be enjoying our morning brew. In this session, we interviewed Chengyin Eng (Senior Data Scientist, Databricks), Sam Raymond (Senior Data Scientist, Databricks), and Joseph Bradley (Lead Production Specialist - ML, Databricks) on the best practices around LLM use cases, prompt engineering, and how to adapt MLOps for LLMs (i.e., LLMOps).…

Data Brew by Databricks

1
Demonstrate–Search–Predict Framework | Data Brew | Episode 32 33:14

۲ years پیش33:14

33:14

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Omar Khattab - Computer Science Ph.D. Student at Stanford, creator of DSP (Demonstrate–Search–Predict Framework), to discuss DSP, common applications, and the future of NLP.…

Data Brew by Databricks

1
Generative AI Risks | Data Brew | Episode 31 34:38

۲ years پیش34:38

34:38

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this session, we interviewed Yaron Singer, CEO of Robust Intelligence, Professor of Computer Science at Harvard University, and guest of Data Brew Season 3 (our first repeat guest!). In this session, we discuss generative AI, the trends toward embracing LLMs, and how the surface area for vulnerabilities in generative AI is much bigger.…

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Data Brew by Databricks « » Data Brew Season 2 Episode 5: ML Applications

Data Brew Season 2 Episode 5: ML Applications

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Data Brew Season 2 Episode 5: ML Applications