This repository contains sample code for hands-on exercises related to the book 'Amazon Bedrock 生成AIアプリ開発入門'. It allows readers to easily access and copy the code. The repository also includes directories for each chapter's hands-on code, settings, and a 'requirements.txt' file listing necessary Python libraries. Updates and error fixes will be provided as needed. Users can report issues in the repository's 'Issues' section, and errata will be published on the SB Creative official website.

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.

Long-Novel-GPT is a long novel generator based on large language models like GPT. It utilizes a hierarchical outline/chapter/text structure to maintain the coherence of long novels. It optimizes API calls cost through context management and continuously improves based on self or user feedback until reaching the set goal. The tool aims to continuously refine and build novel content based on user-provided initial ideas, ultimately generating long novels at the level of human writers.

Tegridy MIDI Dataset is an ultimate multi-instrumental MIDI dataset designed for Music Information Retrieval (MIR) and Music AI purposes. It provides a comprehensive collection of MIDI datasets and essential software tools for MIDI editing, rendering, transcription, search, classification, comparison, and various other MIDI applications.

ESP32_AI_LLM is a project that uses ESP32 to connect to Xunfei Xinghuo, Dou Bao, and Tongyi Qianwen large models to achieve voice chat functions, supporting online voice wake-up, continuous conversation, music playback, and real-time display of conversation content on an external screen. The project requires specific hardware components and provides functionalities such as voice wake-up, voice conversation, convenient network configuration, music playback, volume adjustment, LED control, model switching, and screen display. Users can deploy the project by setting up Xunfei services, cloning the repository, configuring necessary parameters, installing drivers, compiling, and burning the code.

AiMoneyHunter is a comprehensive collection of information on AI side hustle opportunities, covering various methods, technologies, tools, platforms, and channels for making money with AI. It aims to break information barriers in the AI era, enabling everyone to leverage AI intelligence for side hustles and earn extra income. The repository includes curated AI-related content sources, tips on starting a side hustle, and insights on using AI technologies for various money-making tasks.

EZ-Work AI Document Translation is an AI document translation assistant accessible to everyone. It enables quick and cost-effective utilization of major language model APIs like OpenAI to translate documents in formats such as txt, word, csv, excel, pdf, and ppt. The tool supports AI translation for various document types, including pdf scanning, compatibility with OpenAI format endpoints via intermediary API, batch operations, multi-threading, and Docker deployment.

MarkMap-OpenAi-ChatGpt is a Vue.js-based mind map generation tool that allows users to generate mind maps by entering titles or content. The application integrates the markmap-lib and markmap-view libraries, supports visualizing mind maps, and provides functions for zooming and adapting the map to the screen. Users can also export the generated mind map in PNG, SVG, JPEG, and other formats. This project is suitable for quickly organizing ideas, study notes, project planning, etc. By simply entering content, users can get an intuitive mind map that can be continuously expanded, downloaded, and shared.

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.

Aipan-Netdisk-Search is a free and open-source web project for searching netdisk resources. It utilizes third-party APIs with IP access restrictions, suggesting self-deployment. The project can be easily deployed on Vercel and provides instructions for manual deployment. Users can clone the project, install dependencies, run it in the browser, and access it at localhost:3001. The project also includes documentation for deploying on personal servers using NUXT.JS. Additionally, there are options for donations and communication via WeChat.

Code Interpreter API is a project that combines a scheduling center with a sandbox environment, dedicated to creating the world's best code interpreter. It aims to provide a secure, reliable API interface for remotely running code and obtaining execution results, accelerating the development of various AI agents, and being a boon to many AI enthusiasts. The project innovatively combines Docker container technology to achieve secure isolation and execution of Python code. Additionally, the project supports storing generated image data in a PostgreSQL database and accessing it through API endpoints, providing rich data processing and storage capabilities.

LLM-And-More is a one-stop solution for training and applying large models, covering the entire process from data processing to model evaluation, from training to deployment, and from idea to service. In this project, users can easily train models through this project and generate the required product services with one click.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

llm-resource is a comprehensive collection of high-quality resources for Large Language Models (LLM). It covers various aspects of LLM including algorithms, training, fine-tuning, alignment, inference, data engineering, compression, evaluation, prompt engineering, AI frameworks, AI basics, AI infrastructure, AI compilers, LLM application development, LLM operations, AI systems, and practical implementations. The repository aims to gather and share valuable resources related to LLM for the community to benefit from.

AI Paint Today is an API server repository that allows users to record their emotions and daily experiences, and based on that, AI generates a beautiful picture diary of their day. The project includes features such as generating picture diaries from written entries, utilizing DALL-E 2 model for image generation, and deploying on AWS and Cloudflare. The project also follows specific conventions and collaboration strategies for development.

WeiXin-Dyh-AI is a backend management system that supports integrating WeChat subscription accounts with AI services. It currently supports integration with Ali AI, Moonshot, and Tencent Hyunyuan. Users can configure different AI models to simulate and interact with AI in multiple modes: text-based knowledge Q&A, text-to-image drawing, image description, text-to-voice conversion, enabling human-AI conversations on WeChat. The system allows hierarchical AI prompt settings at system, subscription account, and WeChat user levels. Users can configure AI model types, providers, and specific instances. The system also supports rules for allocating models and keys at different levels. It addresses limitations of WeChat's messaging system and offers features like text-based commands and voice support for interactions with AI.

This repository contains sample code for hands-on exercises related to the book 'Amazon Bedrock 生成AIアプリ開発入門'. It allows readers to easily access and copy the code. The repository also includes directories for each chapter's hands-on code, settings, and a 'requirements.txt' file listing necessary Python libraries. Updates and error fixes will be provided as needed. Users can report issues in the repository's 'Issues' section, and errata will be published on the SB Creative official website.

The .NET Conf Focus on AI 2024 repository contains content from the event focusing on incorporating AI into .NET applications and services. It includes slides and demos showcasing various AI-powered web apps, AI models, generative AI apps, and more. The repository serves as a resource for developers looking to explore AI integration with .NET technologies.

Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs. It provides a consistent format for creating and using AI models against a wide variety of data domains and tasks.

**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.