5 LLM Fine-Tuning Library You Should Know

Various Python library to improve your fine-tune ability

Large Language Model (LLM) fine-tuning is adapting a pre-trained general-purpose language model (e.g., GPT, LLaMA, or BERT) to perform a specific task or align with domain-specific data.

While pre-trained LLMs possess extensive knowledge of language patterns, fine-tuning allows them to perform specialized applications, such as medical chatbots, legal document analysis, customer service agents, and more.

There are many methods for LLM fine-tuning, including prompt-tuning, full fine-tuning, and Parameter-Efficient Fine-Tuning (PEFT), but they will not be our focus.

In this article, I will outline five different LLM Fine-Tuning libraries that will certainly help your works.

Curious about it? Let’s get into it.

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