Summary Evaluators | LangSmith Evaluations - Part 11

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 explains how to define evaluators that compute customized summary metrics over a dataset.
Documentation:
docs.smith.langchain.com/eval...

[@RADKIT]

Thanks Lance!

[@yudomaryanto1643]

How we use the result of evaluation to our langchain