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

Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog 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



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

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

Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog 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



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

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

Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog 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

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      Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog 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
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      How Dosu Used LangSmith to Achieve a 30% Accuracy Improvement with No Prompt Engineering
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      Editor's Note: the following is authored by Devin Stein, CEO of Dosu. In this blog 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
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