What is Fine-Tuning in Large Language Models (LLMs)?

Fine-tuning adapts pretrained large language models to specialized tasks or domains using additional targeted training.

Large Language Models are pretrained on enormous general-purpose datasets. While they possess broad capabilities, they often require specialization for domain-specific tasks.

Fine-tuning modifies pretrained weights using task-specific data.

Pipeline:

Types of fine-tuning:

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