LibreChatis a promising open-source project that aims to simplify and unify the process of interacting with various AI services and providers. Its extensive customization options, support for multiple AI providers, and user-friendly interface make it an attractive choice for individuals and organization...
Download 30-day free trial and open-source packages of DHTMLX JavaScript libraries to evaluate them in your web development projects.
open-sourcetransparencyllmchatgptrlhfchatgpt-free UpdatedAug 30, 2024 Python The Ultimate ChatGPT is an AI-powered virtual assistant designed to provide an enhanced writing and problem-solving experience. chatbotgptgpt3gpt4chatgptchatgpt3chatgpt-botchatgpt-freechatgpt-appgpt3-turbochatgpt4gpt4free...
open-source ai gpt4all gpt4free gpt4o Updated Oct 17, 2024 Python MIDORIBIN / langchain-gpt4free Star 174 Code Issues Pull requests LangChain x gpt4free python gpt gpt-3 gpt-4 llm langchain gpt4free Updated Oct 24, 2023 Python Integration...
LiveBench LLM leaderboard as of June 12, 2024. The benchmark’s creators say they have evaluated many “prominent closed-source models, as well as dozens of open-source models” between 500 million and 110 billion tokens in size. Citing LiveBench’s difficulty level, they claim top models ...
随着人工智能技术的飞速发展,大型语言模型(LLM)、检索增强生成(RAG)和智能体(Agent)已经成为推动该领域进步的关键技术,这些技术不仅改变了我们与机器的交互方式,而且为各种应用和服务的开发提供了前所未有的可能性。正确理解这三者的概念及其之间的关系是做好面向AI编程开发的基础: 大模型(LLM)检索增强生成(RAG)智能体...
AnythingLLM is an open-source LLM that offers high customization and a private AI experience. It lets users deploy and run LLMs offline on their local devices, such as Mac, Windows, or Linux, ensuring completedata privacy. Moreover, the tool will best suit single users who want an easy-...
Langfuse - Open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. Free forever plan includes 50k observations per month and all platform features. #opensource Pollinations.AI - easy-to-use, free image generation AI with free AP...
Stanford EE274: Data Compression I 2023 I Lecture 9 – Context-based AC & LLM Compression from Stanford University Stanford EE274: Data Compression I 2023 I Lecture 4 – Huffman Codes from Stanford University Stanford EE274: Data Compression I 2023 I Lecture 3 – Kraft Inequality, Entropy, In...
Free generative AI tools aren't the best at creating logotypes because they can't generate letters accurately. Large language models (LLMs) are trained on image data, often scraped from the internet and other digitized sources, meaning they generate new content based on their knowledge -- but...