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 shows how to attach evaluators to datasets so that they automatically run when an experiment is performed on the dataset .
Documentation:
docs.smith.langchain.com/eval...
Негізгі бет Attach evaluators to datasets | LangSmith Evaluations - Part 9
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