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Web-based interfaces for interacting with deployed AI models.
Distinct from Web Widget Deployments: Candidates focus on multi-channel deployment or general UI; this is specifically a chat UI for LLMs.
Explore 3 awesome GitHub repositories matching user interface & experience · Chatbot User Interfaces. Refine with filters or upvote what's useful.
LMFlow is a comprehensive suite for large language model fine-tuning, context extension, multimodal processing, and inference execution. It provides a toolkit for updating model parameters through full tuning or memory-efficient adapter algorithms, alongside an inference engine for executing tuned models via command-line or web-based interfaces. The framework includes a dedicated alignment suite for supervised tuning and reward model training to refine model behavior. It features a context window extender to increase maximum input lengths and a multimodal framework for building chatbots that
Launches a customizable web-based user interface for interacting with deployed models.
BetterChatGPT is a cross-platform user interface and OpenAI API client designed for interacting with large language models. It functions as a prompt engineering workspace and a self-hosted AI frontend that allows users to connect to models via API keys or custom proxy endpoints. The project distinguishes itself through conversation management tools, including the ability to organize chats into color-coded folders and maintain a library of reusable prompt templates. It also includes a real-time cost monitoring system that tracks token consumption and calculates estimated pricing for interactio
Provides a specialized web-based user interface for interacting with large language models.
This project is an Android application that integrates OpenAI language models to provide real-time conversational AI experiences. It functions as a native mobile client, enabling users to send queries to remote language services and view the resulting text responses within an interactive chat interface. The application utilizes a declarative user interface framework to build dynamic messaging layouts and manage conversation states. It employs a component-based architecture that separates UI logic from network communication, ensuring that messaging components remain modular and decoupled from
Provides a native mobile interface for sending user queries to language models and rendering text replies.