12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

🔊 Text-Prompted Generative Audio Model

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

A simple screen parsing tool towards pure vision based GUI agent

A guidance language for controlling large language models.

Instruct-tune LLaMA on consumer hardware

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

This repository contains the source code for the paper First Order Motion Model for Image Animation

QLoRA: Efficient Finetuning of Quantized LLMs

Official inference library for Mistral models

A series of large language models trained from scratch by developers @01-ai

Inpaint anything using Segment Anything and inpainting models.

The fastest way to create an HTML app

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Doing simple retrieval from LLM models at various context lengths to measure accuracy

New ways of breaking app-integrated LLMs

Collection of notebook guides created by the Brev.dev team!

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

I leverage OpenAI and ChatGPT to do hackerish things