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Data Brew by Databricks

Data Brew by Databricks

출시:2023-07-21
© 2023 Data Brew by Databricks
Data Brew by Databricks - QR코드
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Apple 팟캐스트 지금 듣기
에피소드 31개
오디오
Apple 팟캐스트 지금 듣기
출시:2023-07-21
© 2023 Data Brew by Databricks
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LLMs: Internals, Hallucinations, and Applications | Data Brew | Season 5 | Episode 4

LLMs: Internals, Hallucinations, and Applications | Data Brew | Season 5 | Episode 4

시간:38:50
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).
에피소드 ID:1000621862164
GUID:Buzzsprout-13261895
발매일:2023. 7. 21. 오후 4:00:00

설명

Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.

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