#LLM-Finetuning

This guide provides insights into advanced techniques for efficiently fine-tuning large language models with tools like LoRA and Hugging Face. Featuring comprehensive tutorials on various methods such as PEFT, RLHF training, and transformer-based approaches, it offers clear, step-by-step guides for model enhancement—suitable for data scientists and AI researchers seeking to optimize machine learning processes and accuracy.