Mastering Applied AI, One Concept at a Time
-
Updated
Feb 27, 2026 - Jupyter Notebook
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
'afm' command cli: macOS server and single prompt mode that exposes Apple's Foundation and MLX Models and other APIs running on your Mac through a single aggregated OpenAI-compatible API endpoint. Supports Apple Vision and single command (non-server) inference with piping as well . Now with Web Browser and local AI API aggregator
IndexTTS Fine-tuning notebooks
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. ✨
On Memorization of Large Language Models in Logical Reasoning
Vesta macOS Distribution - Official releases and downloads.Vesta AI Chat Assistant for macOS - Built with SwiftUI and Apple Intelligence using Apple's on device model on MacOs Tahoe (MacOS 26). Now with side-by-side Qwen3-VL for vison
MediNotes: SOAP Note Generation through Ambient Listening, Large Language Model Fine-Tuning, and RAG
A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
Fine-tune Mistral 7B to generate fashion style suggestions
[NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
the small distributed language model toolkit; fine-tune state-of-the-art LLMs anywhere, rapidly
Add a description, image, and links to the finetuning-llms topic page so that developers can more easily learn about it.
To associate your repository with the finetuning-llms topic, visit your repo's landing page and select "manage topics."