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통찰 - Supervised Fine-tuning of Large Language Models
Optimizing the Balance Between Speciality and Versatility in Large Language Models Through Coarse-to-Fine Tuning
A coarse-to-fine framework, CoFiTune, is proposed to strike a balance between the speciality and versatility of large language models by selectively fine-tuning specific modules within a defined layer range.
Efficiently Fine-Tune Llama 3.1 with Unsloth for Customized Language Models
Supervised fine-tuning is an effective method to customize pre-trained language models like Llama 3.1 for specific use cases, improving performance and adding new capabilities at a lower cost compared to using closed-source models.
