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Listen "LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33"
Episode Synopsis
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).
More episodes of the podcast Data Brew by Databricks
Multimodal AI | Data Brew | Episode 42
07/04/2025
Age of Agents | Data Brew | Episode 41
27/03/2025
Reward Models | Data Brew | Episode 40
20/03/2025
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