How to Build LLMs on Your Company’s Data While on a Budget
Summary
This video demonstrates two distinct methods for adapting open-source large language models to proprietary company data without high costs: using a retrieval-augmented generation pattern with a vector database or fully fine-tuning the model. It compares the practical implementation, hardware requirements, and common failure modes of each approach.
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