Pairwise Evaluation | LangSmith Evaluations - Part 17

With the rapid pace of AI, developers are often faced with a paradox of choice: how to choose the right prompt, how to trade-off LLM quality vs cost? Evaluations can accelerate development with structured process for making these decisions. But, we've heard that it is challenging to get started. So, we are launching a series of short videos focused on explaining how to perform evaluations using LangSmith.
This video focuses on Pairwise Evaluation. We show you how to build custom pairwise evaluations that can choose between a set of candidate LLM outputs based upon user-defined criteria.

[@ngnapster]

Can you share the link to the iPython book

[@Nairb932]

Keep up the good work man!