How to Use LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering

In this video we walk through how Dosu uses LangSmith to improve the performance of their application - with NO prompt engineering. Rather, they collected feedback from their users, transformed that into few shot examples, and then fed that back into their application.

This is a relatively simple and general technique that can lead to automatic performance improvements. We've written up a LangSmith cookbook to let anyone get started with continual in-context learning for classification!

LangSmith Cookbook: https://docs.smith.langchain.com/monitoring/use_cases/classification

Blog: blog.langchain.dev/dosu-langsmith-no-prompt-eng/

Sign up for LangSmith for free: https://smith.langchain.com/

Видео How to Use LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering канала LangChain