Topic: ernie-bot Goto Github
Some thing interesting about ernie-bot
Some thing interesting about ernie-bot
ernie-bot,A dotnet SDK for OpenAI ChatGPT & Baidu Ernie-bot & ErnievilgV2
User: arthuridea
ernie-bot,Provide best practices for LMOps, as well as elegant and convenient access to the features of the Qianfan MaaS Platform. (提供大模型工具链最佳实践,以及优雅且便捷地访问千帆大模型平台)
Organization: baidubce
Home Page: https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html
ernie-bot,Semantic Kernel 集成文心千帆
Organization: custouch
ernie-bot,ExcelChat - Chat w/ your excel file
User: developerlin
Home Page: https://excelchat.streamlit.app
ernie-bot,Automagically generate conventional git commit messages with AI. - 使用 AI 自动生成约定式 git 提交信息。
User: guanguans
ernie-bot,Using Langchain's ideas to build SpringBoot AI applications | 用langchain的**,构建SpringBoot AI应用
User: hkh1012
ernie-bot,智元 IIM 是一款开源的网页版即时聊天系统, 同时拥有AI聊天对话功能, 支持ChatGPT、Midjourney、文心一言、讯飞星火、通义千问等AI助手功能
User: iimeta
Home Page: https://iim.ai
ernie-bot,智元 IIM 是一款开源的网页版即时聊天系统, 同时拥有AI聊天对话功能, 支持ChatGPT、Midjourney、文心一言、讯飞星火、通义千问等AI助手功能
User: iimeta
Home Page: https://iim.ai
ernie-bot,智元 IIM 是一款开源的网页版即时聊天系统, 同时拥有AI聊天对话功能, 支持ChatGPT、Midjourney、文心一言、讯飞星火、通义千问等AI助手功能
User: iimeta
Home Page: https://iim.ai
ernie-bot,Self-host llmapi server, make it really easy for accessing LLMs ! :rocket:
Organization: llmapi-io
Home Page: https://llmapi.io
ernie-bot,千帆 / 文心一言 Java SDK
User: oldmanpushcart
ernie-bot,ERNIE Bot Agent is a Large Language Model (LLM) Agent Framework, powered by the advanced capabilities of ERNIE Bot and the platform resources of Baidu AI Studio.
Organization: paddlepaddle
Home Page: http://ernie-bot-agent.readthedocs.io/
ernie-bot,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.
User: songquanpeng
Home Page: https://openai.justsong.cn/
ernie-bot,Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Organization: zilliztech
Home Page: https://github.com/zilliztech/akcio/wiki
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