Examples and guides for using the OpenAI API
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A latent text-to-image diffusion model
12 Weeks, 24 Lessons, AI for All!
《动手学大模型Dive into LLMs》系列编程实践教程
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.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
This is a repo with links to everything you'd ever want to learn about data engineering
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
An Open Source implementation of Notebook LM with more flexibility and features
- assistant
- learning
- note-taking
- notebook
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
🔊 Text-Prompted Generative Audio Model
Google Research
Anthropic's Interactive Prompt Engineering Tutorial
Build your personal knowledge base with Trilium Notes
- knowledge-graph
- note-taking
- notebook
- knowledge-base
10 Weeks, 20 Lessons, Data Science for All!
📚 从零开始构建大模型
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.