LLMs: Internals, Hallucinations, and Applications | Data Brew | Season 5 | Episode 4
Data Brew by Databricks
English - July 21, 2023 07:00 - 38 minutes - 26.7 MB - ★★★★★ - 14 ratingsTechnology data analytics apache spark delta lake machine learning data science data engineering Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Demonstrate–Search–Predict Framework | Data Brew | Season 5 | Episode 3
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).