Data Brew Season 2 Episode 6: AutoML

Data Brew Season 2 Episode 6: AutoML

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. Erin LeDell shares valuable insight on AutoML, what problems are best solved by it, its current limitations, and her thoughts on the future of AutoML. We also discuss founding and growing the Women in Machine Learnin...

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Jaksot(44)

Reinforcement Fine-Tuning and the Future of Specialized AI Models

Reinforcement Fine-Tuning and the Future of Specialized AI Models

What if building a custom AI model for your business was as simple as giving feedback—no massive labeled datasets required? In this episode, we sit down with Travis Addair, CTO and Co-Founder of Predi...

5 Elo 202540min

Benchmarking Domain Intelligence | Data Brew | Episode 45

Benchmarking Domain Intelligence | Data Brew | Episode 45

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 ta...

24 Huhti 202531min

SWE-bench & SWE-agent | Data Brew | Episode 44

SWE-bench & SWE-agent | Data Brew | Episode 44

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 ev...

17 Huhti 202536min

Enterprise AI: Research to Product | Data Brew | Episode 43

Enterprise AI: Research to Product | Data Brew | Episode 43

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 de...

10 Huhti 202538min

Multimodal AI | Data Brew | Episode 42

Multimodal AI | Data Brew | Episode 42

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 contributin...

7 Huhti 202542min

Age of Agents | Data Brew | Episode 41

Age of Agents | Data Brew | Episode 41

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. Highli...

27 Maalis 202540min

Reward Models | Data Brew | Episode 40

Reward Models | Data Brew | Episode 40

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 Hu...

20 Maalis 202539min

Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39

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 accu...

20 Helmi 202545min

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