Using LangSmith to Support Fine-tuning
By A Mystery Man Writer
Description
Summary
We created a guide for fine-tuning and evaluating LLMs using LangSmith for dataset management and evaluation. We did this both with an open source LLM on CoLab and HuggingFace for model training, as well as OpenAI's new finetuning service. As a test case, we fine-tuned LLaMA2-7b-chat and gpt-3.5-turbo for an extraction task (knowledge graph triple extraction) using training data exported from LangSmith and also evaluated the results using LangSmith. The CoLab guide is here.
Context
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Nicolas A. Duerr on LinkedIn: #futurebrains #platform #marketplace #strategy #innovation
Using LangSmith to Support Fine-tuning
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Nicolas A. Duerr on LinkedIn: #success #strategy #product #validation
Nicolas A. Duerr on LinkedIn: #business #strategy #partnerships
Using LangSmith to Support Fine-tuning
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Nicolas A. Duerr on LinkedIn: #business #strategy #partnerships
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