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#python #ai #chatglm_4 #chatgpt #claude3 #dingtalk #feishu_bot #gemini #glm #gpt_4 #kimi #linkai #llm #openai #python3 #qwen #rag #wechat #wechat_bot #wenxinyiyan #xunfei_spark

This project, called "chatgpt-on-wechat" (CoW), is an intelligent chatbot based on large language models that can be integrated with various platforms like WeChat public accounts, enterprise WeChat apps, Feishu, and DingTalk. It supports multiple models such as GPT-3.5, GPT-4, Claude, Gemini, and more. The bot can handle text, voice, and image inputs and access external resources through plugins.

### Key Benefits Supports deployment on multiple platforms including WeChat public accounts, enterprise WeChat apps, Feishu, and DingTalk.
- **Advanced Conversations** Recognizes voice messages and generates images using various models.
- **Customizable Plugins** Enables custom AI applications using uploaded knowledge base files.

### How It Helps You:
This project helps you create a highly customizable AI chatbot that can be integrated into your existing communication platforms. It enhances customer service, personal assistance, and team efficiency by providing intelligent responses to text, voice, and image queries. The ability to customize knowledge bases and plugins makes it versatile for different business needs.

https://github.com/zhayujie/chatgpt-on-wechat
#typescript #ai #azure_openai_api #chat #chatglm #chatgpt #claude #dalle_3 #function_calling #gemini #gpt #gpt_4 #gpt_4_vision #knowledge_base #nextjs #ollama #openai #qwen2 #rag #tts

LobeChat is an open-source, modern chatbot framework that supports ChatGPT and other Large Language Models (LLMs). It offers several key features Works with multiple AI model providers like OpenAI, Google AI, and more.
- **Speech Synthesis and Voice Conversation** Can recognize and respond to images using models like GPT-4 Vision.
- **Text to Image Generation** Extends functionality with plugins for tasks like web searches and document management.
- **One-Click Deployment** Offers customizable themes and optimized mobile experience.

These features make LobeChat highly flexible and user-friendly, allowing you to create a personalized and powerful chatbot with minimal setup.

https://github.com/lobehub/lobe-chat
#python #chatglm #chatgpt #gemini #python #wechat #xunfei

This is a guide to setting up a WeChat robot using the WeChatRobot project. Here’s how it benefits you:

You can create a smart chatbot that automates interactions on WeChat. To start, you need to install Python and the necessary dependencies, then clone the project from GitHub. After running the `main.py` script twice, you'll generate a configuration file and set up your bot. You can choose from different AI models like ChatGPT, TigerBot, or ChatGLM and configure them according to your needs. The bot can respond to messages in specific groups and even handle HTTP requests. This automation saves time and makes managing your WeChat interactions easier and more efficient.

https://github.com/lich0821/WeChatRobot
#python #agent #ai #chatglm #fine_tuning #gpt #instruction_tuning #language_model #large_language_models #llama #llama3 #llm #lora #mistral #moe #peft #qlora #quantization #qwen #rlhf #transformers

LLaMA Factory is a tool that makes it easy to fine-tune large language models. It supports many different models like LLaMA, ChatGLM, and Qwen, among others. You can use various training methods such as full-tuning, freeze-tuning, LoRA, and QLoRA, which are efficient and save GPU memory. The tool also includes advanced algorithms and practical tricks to improve performance.

Using LLaMA Factory, you can train models up to 3.7 times faster with better results compared to other methods. It provides a user-friendly interface through Colab, PAI-DSW, or local machines, and even offers a web UI for easier management. The benefit to you is that it simplifies the process of fine-tuning large language models, making it faster and more efficient, which can be very useful for research and development projects.

https://github.com/hiyouga/LLaMA-Factory
#python #bard #bot #chatglm_6b #chatgpt #discord #ernie #go_cqhttp #mirai #mirai_qq #new_bing #openai #poe #qq #qqbot #sydney #telegram #wechat #xinghuo

This project is about a chatbot that supports various language models and can be used on multiple platforms like QQ, Telegram, Discord, and more. Here’s what you need to know The bot works on several chat platforms, including Mirai, go-cqhttp, Telegram, Discord, and WeChat.
- **Features** There are easy-to-follow deployment guides for Linux, Windows, and Mac users, including automated scripts.
- **HTTP API** You can load pre-set chat styles and convert text to images or voice messages.

Using this bot can help you automate and enhance your chat interactions across different platforms with advanced AI capabilities.

https://github.com/lss233/chatgpt-mirai-qq-bot
#jupyter_notebook #chatglm #chatglm3 #gemma_2b_it #glm_4 #internlm2 #llama3 #llm #lora #minicpm #q_wen #qwen #qwen1_5 #qwen2

This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5].

https://github.com/datawhalechina/self-llm