Collection of resources for finetuning Large Language Models (LLMs).

Unsloth fine-tuning resources.

synthetic dataset generation workflow using local file resources for finetuning llms.

Resources to aid your learning of LLM finetuning.

all related resources about LLM，pretraining，finetuning，and data preparation

A repository documenting my learning journey into Large Language Model (LLM) finetuning. This includes my personal code, notes, and experiments based on online tutorials and resources.

A repo containing resources related to Finetuning LLMs.

Exploring finetuning distilled LLMs with limited computational resources

Notes & Resources of LLMs Finetuning Crash Course from LAMINI.AI & DeepLearning.AI.

Repository of free resources for ML/LLM beyond pure inference (monitoring, experiment tracking, datasets, labeling, finetuning in Colab/Kaggle, dashboards), with quickstarts per provider.

Jupyter notebooks containing my attempts at Kaggle's Prompt Recovery challenge, including an in-depth guide on how to use GPU/TPU resources to finetune LLMs.

I am designing this repository for the developers, machine learning engineers and AI practioners to excel in the deployment and the operational management of the LLMs . Whether you are developinmg custom LLM solution or finetuning the pre-trained model, this handbook will help you with the tools, resources and workflow needed to bring LLMs to prod.