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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
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.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
12 Weeks, 24 Lessons, AI for All!
Free Data Engineering course!
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A guidance language for controlling large language models.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
StableLM: Stability AI Language Models
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Free MLOps course from DataTalks.Club
Examples and guides for using the Gemini API
Learn ML engineering for free in 4 months!
CoreNet: A library for training deep neural networks
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
Analytical chemistry and epidemiology of street drugs
This repository contains an application designed to recommend scientific papers that are most similar to a given input paragraph. The application uses the llama and weaviate libraries to achieve this.
E2E LLM Ops: Cohere + LangChain (LangSmith) + Weaviate
