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Chatbox is a cross-platform desktop AI client designed to give you a fast, polished, and private way to work with modern language models. It runs locally on Windows, macOS, and Linux, keeping your conversations and data stored on your own device. Chatbox acts as a unified interface for popular LLMs like ChatGPT, Claude, Gemini, and local models via Ollama, making it easy to switch providers without changing tools. Built with an ergonomic UI, it’s optimized for long sessions, prompt...

Build your own Discord bot using ChatGPT. Using certain personas may generate vulgar or disturbing content. Use at your own risk. Public mode (default), the bot directly replies on the channel. The bot's reply can only be seen by the person who used the command. Invite your bot to your server via OAuth2 URL Generator. Email/Password authentication (Not supported for Google/Microsoft accounts). A system prompt would be invoked when the bot is first started or reset. You can set it up by...

1. Purpose HydroNet Analyzer is a desktop tool for steady-state and transient pipeline analysis. It estimates hydraulic losses, pump operating point, surge response, waterhammer pressure, and exports plots and text files for each simulation. 2. Input Groups Process Parameters - Select the unit system and transient boundary condition. - Enter flow rate, reservoir head, downstream reservoir head, and system static head. Fluid Data - Select fluid phase and fluid preset...

HasMCP empowers AI development by seamlessly connecting your existing APIs to Large Language Models. Its Automated OpenAPI Mapping instantly translates API documentation into LLM-usable tools, eliminating manual coding. Security is paramount, with Native MCP Elicitation Auth managing complex authentication flows like OAuth2, ensuring user credentials are never exposed. To enhance efficiency, Context Window Optimization intelligently prunes API responses using JMESPath and Goja (JS) logic,...

ChatGPT Desktop Application (Mac, Windows and Linux)

...This combines the LLaMA foundation model with an open reproduction of Stanford Alpaca a fine-tuning of the base model to obey instructions (akin to the RLHF used to train ChatGPT) and a set of modifications to llama.cpp to add a chat interface. Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way.