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.

掌握針對特定領域和任務的大型語言模型的微調。涵蓋數據準備、訓練技術、優化策略和評估方法。在針對專門應用程序調整模型、降低推理成本或提高特定領域的性能時使用。 來源：qodex-ai/ai-agent-skills。

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