Complete AI Course on Prompting, Evals, RAG, and Fine-Tuning | Adam Loving (Meta)
Behind the Craft
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Navigating Document Categorization and Fine-Tuning
This chapter examines document categorization and fine-tuning techniques in large language models, focusing on coarse-grained categorization for efficient querying. It also highlights the significance of proper training datasets and the careful adjustment of model weights to avoid errors in responses.
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