Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
- aigc
- rag
- survey
- diffusion-models
81,588 visible repositories in the index
1,969–1,992 of 3,043 · Most stars
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Windows 10/11 Guide. Including Windows Security tools, Encryption, Nextcloud, Graphics, Gaming, Virtualization, Windows Subsystem for Linux (WSL 2), Software Apps, and Resources.
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
The Rust primer for beginners. We need native English speaker help us modify the translation.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
📝 Specifications for the Fuel protocol and the FuelVM, a blazingly fast blockchain VM.
自然语言处理、知识图谱、大语言模型,Agent等技术的前沿追踪、研究与应用。
Top 200 deep learning Github repositories sorted by the number of stars.
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
A curated collection of links for economists
Renamed to "Frontend Web Development for Beginners", this will help you build a solid foundation in HTML, CSS, and JavaScript as a web developer.
An introduction to the Rust programming language for Node developers.
We're going to take you step-by-step to build a modern, fully open-source, eCommerce web application using Python, Django, Bootstrap, Javascript, and more.
A simple blockchain in Javascript. For educational purposes only.
Learn LLM internals step by step - from tokenization to attention to inference optimization.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
:pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.
A simple example of how to do server-side rendering with React (no compilation needed)
Learn how to build your own Google Jobs scraper that simultaneously scrapes Google Jobs for multiple search queries and geo-locations with Python and Oxylabs’ Google Jobs Scraper API. https://oxylabs.io/blog/how-to-scrape-google-jobs
collection of projects and links about algorithm visualization
It is a book about the Essentials of Norman Maurer's Netty in Action.《Netty 实战(精髓)》是对 Norman Maurer 的 《Netty in Action》的一个精简
Documentation for Passport.js.
FSL-Mate: A collection of resources for few-shot learning (FSL).
A curated list of awesome ggplot2 tutorials, packages etc.