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 Aug 202540min
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 Apr 202531min
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 Apr 202536min
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 Apr 202538min
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 Apr 202542min
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 Mars 202539min
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 Feb 202545min
