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OpenAI 接口管理 & 分发系统,支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元,可用于二次分发管理 key,仅单可执行文件,已打包好 Docker 镜像,一键部署,开箱即用. OpenAI key management & redistribution system, using a single API for all LLMs, and features an English UI.
This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.
This demo repository illustrates how to use Python to scrape news articles from Google based on a given keyword. The scraped articles are then processed by Azure OpenAI Service (AOAI)'s GPT-3 model, which generates concise summaries of the main points. The summaries are then formatted and sent via email using MailJet API.
FlexiAI: A dynamic and modular AI framework leveraging Multi-Agent Systems and Retrieval Augmented Generation (RAG) for seamless integration with OpenAI and Azure OpenAI services.
I have improved the demo by using Azure OpenAI’s Embedding model (text-embedding-ada-002), which has a powerful word embedding capability. This model can also vectorize product key phrases and recommend products based on cosine similarity, but with better results. You can find the updated repo here.
In this repository, you will find an example code for creating an interactive chat experience that allows you to ask questions about your CSV data with chart visualization capabilities.
In this repository, you will discover how Streamlit, can work seamlessly with Azure OpenAI Service's Embedding and GPT 3.5 models. These tools make it possible to create a user-friendly web application that enables users to ask questions in natural language about a PDF file they have uploaded.