LLM Fine-Tuning

A general-purpose language model knows a little about everything and not enough about your specific use case. LLM fine-tuning takes that base model and trains it further on a narrower, labeled dataset until it performs the way your product actually needs it to. The quality of that narrower dataset determines almost everything about the outcome, which is why most fine-tuning failures trace back to the data, not the model architecture.

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