Starred repositories
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
🧑🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
中文 NLP 预处理、解析工具包,准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
the resources about the application based on LLM with RAG pattern
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)
Evaluation tools for Retrieval-augmented Generation (RAG) methods.
✨✨Latest Advances on Multimodal Large Language Models
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
🚀 基于大语言模型和 RAG 的知识库问答系统。开箱即用、模型中立、灵活编排,支持快速嵌入到第三方业务系统。
A series of large language models trained from scratch by developers @01-ai
Best Practices on Recommendation Systems
A python library for implementing a recommender system
A recommender systems development and evaluation package by Mendeley
A Python scikit for building and analyzing recommender systems
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Z-Bench 1.0 by 真格基金:一个麻瓜的大语言模型中文测试集。Z-Bench is a LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A Python implementation of LightFM, a hybrid recommendation algorithm.
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
Foundational tools for BCG X's data science packages.
《构筑大语言模型应用:应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书,介绍了大语言模型的基础知识和应用,以及如何构建自己的模型。其中包括Prompt的编写、开发和管理,探索最好的大语言模型能带来什么,以及LLM应用开发的模式和架构设计。