Godog is an AI desktop pet powered by a large language model and created with Godot. It aims to provide a versatile and rich desktop AI pet that users can customize to create unique pet images and behaviors. The tool is lightweight, easy to develop with Godot, compatible with various large language models, offers pre-made character functions and multiple appearances, supports multimodal capabilities, and allows users to easily build their own AI desktop pets on top of the existing features.

Magic Resume is a modern online resume editor that makes creating professional resumes simple and fun. Built on Next.js and Framer Motion, it supports real-time preview and custom themes. Features include Next.js 14+ based construction, smooth animation effects (Framer Motion), custom theme support, responsive design, dark mode, export to PDF, real-time preview, auto-save, and local storage. The technology stack includes Next.js 14+, TypeScript, Framer Motion, Tailwind CSS, Shadcn/ui, and Lucide Icons.

EasyAi is a lightweight, beginner-friendly Java artificial intelligence algorithm framework. It can be seamlessly integrated into Java projects with Maven, requiring no additional environment configuration or dependencies. The framework provides pre-packaged modules for image object detection and AI customer service, as well as various low-level algorithm tools for deep learning, machine learning, reinforcement learning, heuristic learning, and matrix operations. Developers can easily develop custom micro-models tailored to their business needs.

LLMForEverybody is a comprehensive repository covering various aspects of large language models (LLMs) including pre-training, architecture, optimizers, activation functions, attention mechanisms, tokenization, parallel strategies, training frameworks, deployment, fine-tuning, quantization, GPU parallelism, prompt engineering, agent design, RAG architecture, enterprise deployment challenges, evaluation metrics, and current hot topics in the field. It provides detailed explanations, tutorials, and insights into the workings and applications of LLMs, making it a valuable resource for researchers, developers, and enthusiasts interested in understanding and working with large language models.

The xiaozhi-esp32 repository is the first hardware project by Xia Ge, focusing on creating an AI chatbot using ESP32, SenseVoice, and Qwen72B. The project aims to help beginners in AI hardware development understand how to apply language models to hardware devices. It supports various functionalities such as Wi-Fi configuration, offline voice wake-up, multilingual speech recognition, voiceprint recognition, TTS using large models, and more. The project encourages participation for learning and improvement, providing resources for hardware and firmware development.

Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.

GeekAI is an open-source AI assistant solution based on AI large language model API, featuring a complete system with ready-to-use front-end and back-end management, providing a seamless typing experience via Websocket. It integrates various pre-trained character applications like Xiaohongshu writing assistant, English translation master, Socrates, Confucius, Steve Jobs, and weekly report assistant. The tool supports multiple large language models from platforms like OpenAI, Azure, Wenxin Yanyan, Xunfei Xinghuo, and Tsinghua ChatGLM. Additionally, it includes MidJourney and Stable Diffusion AI drawing functionalities for creating various artworks such as text-based images, face swapping, and blending images. Users can utilize personal WeChat QR codes for payment without the need for enterprise payment channels, and the tool offers integrated payment options like Alipay and WeChat Pay with support for multiple membership packages and point card purchases. It also features a plugin API for developing powerful plugins using large language model functions, including built-in plugins for Weibo hot search, today's headlines, morning news, and AI drawing functions.

ChatGPT-PLUS is an open-source AI assistant solution based on AI large language model API, with a built-in operational management backend for easy deployment. It integrates multiple large language models from platforms like OpenAI, Azure, ChatGLM, Xunfei Xinghuo, and Wenxin Yanyan. Additionally, it includes MidJourney and Stable Diffusion AI drawing features. The system offers a complete open-source solution with ready-to-use frontend and backend applications, providing a seamless typing experience via Websocket. It comes with various pre-trained role applications such as Xiaohongshu writer, English translation master, Socrates, Confucius, Steve Jobs, and weekly report assistant to meet various chat and application needs. Users can enjoy features like Suno Wensheng music, integration with MidJourney/Stable Diffusion AI drawing, personal WeChat QR code for payment, built-in Alipay and WeChat payment functions, support for various membership packages and point card purchases, and plugin API integration for developing powerful plugins using large language model functions.

AI-VTuber is a highly customizable AI VTuber project that integrates with Bilibili live streaming, uses Zhifu API as the language base model, and includes intent recognition, short-term and long-term memory, cognitive library building, song library creation, and integration with various voice conversion, voice synthesis, image generation, and digital human projects. It provides a user-friendly client for operations. The project supports virtual VTuber template construction, multi-person device template management, real-time switching of virtual VTuber templates, and offers various practical tools such as video/audio crawlers, voice recognition, voice separation, voice synthesis, voice conversion, AI drawing, and image background removal.

AIMedia is a fully automated AI media software that automatically fetches hot news, generates news, and publishes on various platforms. It supports hot news fetching from platforms like Douyin, NetEase News, Weibo, The Paper, China Daily, and Sohu News. Additionally, it enables AI-generated images for text-only news to enhance originality and reading experience. The tool is currently commercialized with plans to support video auto-generation for platform publishing in the future. It requires a minimum CPU of 4 cores or above, 8GB RAM, and supports Windows 10 or above. Users can deploy the tool by cloning the repository, modifying the configuration file, creating a virtual environment using Conda, and starting the web interface. Feedback and suggestions can be submitted through issues or pull requests.

Instill Core is an open-source orchestrator comprising a collection of source-available projects designed to streamline every aspect of building versatile AI features with unstructured data. It includes Instill VDP (Versatile Data Pipeline) for unstructured data, AI, and pipeline orchestration, Instill Model for scalable MLOps and LLMOps for open-source or custom AI models, and Instill Artifact for unified unstructured data management. Instill Core can be used for tasks such as building, testing, and sharing pipelines, importing, serving, fine-tuning, and monitoring ML models, and transforming documents, images, audio, and video into a unified AI-ready format.

MaiMBot is an intelligent QQ group chat bot based on a large language model. It is developed using the nonebot2 framework, utilizes LLM for conversation abilities, MongoDB for data persistence, and NapCat for QQ protocol support. The bot features keyword-triggered proactive responses, dynamic prompt construction, support for images and message forwarding, typo generation, multiple replies, emotion-based emoji responses, daily schedule generation, user relationship management, knowledge base, and group impressions. Work-in-progress features include personality, group atmosphere, image handling, humor, meme functions, and Minecraft interactions. The tool is in active development with plans for GIF compatibility, mini-program link parsing, bug fixes, documentation improvements, and logic enhancements for emoji sending.

NarratoAI is an automated video narration tool that provides an all-in-one solution for script writing, automated video editing, voice-over, and subtitle generation. It is powered by LLM to enhance efficient content creation. The tool aims to simplify the process of creating film commentary and editing videos by automating various tasks such as script writing and voice-over generation. NarratoAI offers a user-friendly interface for users to easily generate video scripts, edit videos, and customize video parameters. With future plans to optimize story generation processes and support additional large models, NarratoAI is a versatile tool for content creators looking to streamline their video production workflow.

The Awesome ChatGPT Chinese Guide project aims to help Chinese users understand and use ChatGPT. It collects various free and paid ChatGPT resources, as well as methods to communicate more effectively with ChatGPT in Chinese. The repository contains a rich collection of ChatGPT tools, applications, and examples.

Jarvis is a powerful virtual AI assistant designed to simplify daily tasks through voice command integration. It features automation, device management, and personalized interactions, transforming technology engagement. Built using Python and AI models, it serves personal and administrative needs efficiently, making processes seamless and productive.

AP-PLUGIN is an AI drawing plugin for the Yunzai series robot framework, allowing you to have a convenient AI drawing experience in the input box. It uses the open source Stable Diffusion web UI as the backend, deploys it for free, and generates a variety of images with richer functions.

Godog is an AI desktop pet powered by a large language model and created with Godot. It aims to provide a versatile and rich desktop AI pet that users can customize to create unique pet images and behaviors. The tool is lightweight, easy to develop with Godot, compatible with various large language models, offers pre-made character functions and multiple appearances, supports multimodal capabilities, and allows users to easily build their own AI desktop pets on top of the existing features.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.