Create Custom LLMs

Mastering Applied AI, One Concept at a Time

Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"

End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

Train Large Language Models on MLX.

Enhancing LLMs with LoRA

Deploy any AI model, agents, database, RAG, and pipeline locally in minutes

Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).

🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨

IndexTTS Fine-tuning notebooks

DTensor-native pretraining and fine-tuning for LLMs/VLMs with day-0 Hugging Face support, GPU-acceleration, and memory efficiency.

On Memorization of Large Language Models in Logical Reasoning

MediNotes: SOAP Note Generation through Ambient Listening, Large Language Model Fine-Tuning, and RAG

'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation Models through OpenAI-compatible API endpoints. Supports Apple Vision and single command (non-server) inference with piping as well

A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat

A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.

Fine-tune Mistral 7B to generate fashion style suggestions

the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly

[NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning