By A Mystery Man Writer
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 I
Nicolas A. Duerr on LinkedIn: #innovation #ai #artificialintelligence #business
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Query Construction (LangChain Blog) - nikkie-memos
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如何借助LLMs构建支持文本、表格、图片的知识库_手机搜狐网
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Nicolas A. Duerr on LinkedIn: #success #strategy #product #validation