Mixed Attention & LLM Context | Data Brew | Episode 35

Mixed Attention & LLM Context | Data Brew | Episode 35

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 ...

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Avsnitt(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 Aug 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 Apr 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 Apr 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 Apr 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 Apr 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 Mars 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 Mars 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 Feb 202545min

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