FineTuningLLMs and Finetune_LLMs
These are competitors: both provide educational resources and practical implementations for fine-tuning large language models using LoRA/QLoRA techniques, but serve overlapping use cases with different pedagogical approaches (book-based vs. repository-focused).
About FineTuningLLMs
dvgodoy/FineTuningLLMs
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
This hands-on guide helps data scientists and machine learning engineers develop specialized Large Language Models (LLMs) from existing base models. It takes raw text data, applies techniques like quantization and low-rank adaptation, and outputs a custom-tuned LLM ready for specific tasks. This is for professionals who need to adapt powerful AI models to unique datasets or niche applications.
About Finetune_LLMs
mallorbc/Finetune_LLMs
Repo for fine-tuning Casual LLMs
This project helps AI developers fine-tune large language models (LLMs) to perform specific tasks or generate text in a particular style. You provide a pre-trained LLM and a custom dataset, and it outputs a more specialized LLM. This is for machine learning engineers, data scientists, and AI researchers who need to adapt existing LLMs for unique applications.
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