llm-fine-tuning-guide

SKILL.md

Master the art of fine-tuning large language models to create specialized models optimized for your specific use cases, domains, and performance requirements.

Fine-tuning adapts pre-trained LLMs to specific tasks, domains, or styles by training them on curated datasets. This improves accuracy, reduces hallucinations, and optimizes costs.

Model performs well on training data but poorly on new data.

Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance. Source: qodex-ai/ai-agent-skills.

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