Best AI tools for< 编写电子邮件 >
0 - AI tool Sites
20 - Open Source AI Tools
moonpalace
MoonPalace is a debugging tool for API provided by Moonshot AI. It supports all platforms (Mac, Windows, Linux) and is simple to use by replacing 'base_url' with 'http://localhost:9988'. It captures complete requests, including 'accident scenes' during network errors, and allows quick retrieval and viewing of request information using 'request_id' and 'chatcmpl_id'. It also enables one-click export of BadCase structured reporting data to help improve Kimi model capabilities. MoonPalace is recommended for use as an API 'supplier' during code writing and debugging stages to quickly identify and locate various issues related to API calls and code writing processes, and to export request details for submission to Moonshot AI to improve Kimi model.
awesome-langchain-zh
The awesome-langchain-zh repository is a collection of resources related to LangChain, a framework for building AI applications using large language models (LLMs). The repository includes sections on the LangChain framework itself, other language ports of LangChain, tools for low-code development, services, agents, templates, platforms, open-source projects related to knowledge management and chatbots, as well as learning resources such as notebooks, videos, and articles. It also covers other LLM frameworks and provides additional resources for exploring and working with LLMs. The repository serves as a comprehensive guide for developers and AI enthusiasts interested in leveraging LangChain and LLMs for various applications.
mo-ai-studio
Mo AI Studio is an enterprise-level AI agent running platform that enables the operation of customized intelligent AI agents with system-level capabilities. It supports various IDEs and programming languages, allows modification of multiple files with reasoning, cross-project context modifications, customizable agents, system-level file operations, document writing, question answering, knowledge sharing, and flexible output processors. The platform also offers various setters and a custom component publishing feature. Mo AI Studio is a fusion of artificial intelligence and human creativity, designed to bring unprecedented efficiency and innovation to enterprises.
agent-hub
Agent Hub is a platform for AI Agent solutions, containing three different projects aimed at transforming enterprise workflows, enhancing personalized language learning experiences, and enriching multimodal interactions. The projects include GitHub Sentinel for project management and automatic updates, LanguageMentor for personalized language learning support, and ChatPPT for multimodal AI-driven insights and PowerPoint automation in enterprise settings. The future vision of agent-hub is to serve as a launchpad for more AI Agents catering to different industries and pushing the boundaries of AI technology. Users are encouraged to explore, clone the repository, and contribute to the development of transformative AI agents.
SecReport
SecReport is a platform for collaborative information security penetration testing report writing and exporting, powered by ChatGPT. It standardizes penetration testing processes, allows multiple users to edit reports, offers custom export templates, generates vulnerability summaries and fix suggestions using ChatGPT, and provides APP security compliance testing reports. The tool aims to streamline the process of creating and managing security reports for penetration testing and compliance purposes.
aibydoing-feedback
AI By Doing is a hands-on artificial intelligence tutorial series that aims to help beginners understand the principles of machine learning and deep learning while providing practical applications. The content covers various supervised and unsupervised learning algorithms, machine learning engineering, deep learning fundamentals, frameworks like TensorFlow and PyTorch, and applications in computer vision and natural language processing. The tutorials are written in Jupyter Notebook format, combining theory, mathematical derivations, and Python code implementations to facilitate learning and understanding.
LLMBook-zh.github.io
This book aims to provide readers with a comprehensive understanding of large language model technology, including its basic principles, key technologies, and application prospects. Through in-depth research and practice, we can continuously explore and improve large language model technology, and contribute to the development of the field of artificial intelligence.
libllm
libLLM is an open-source project designed for efficient inference of large language models (LLM) on personal computers and mobile devices. It is optimized to run smoothly on common devices, written in C++14 without external dependencies, and supports CUDA for accelerated inference. Users can build the tool for CPU only or with CUDA support, and run libLLM from the command line. Additionally, there are API examples available for Python and the tool can export Huggingface models.
aid
Aid2 is a tool designed to authorize iOS devices and install apps similar to iTools. After authorizing with Aid2, the IPA files can be installed without entering the app ID and password. This second version of Aid supports both Windows and Mac systems, although the Mac system has not been fully tested yet. Version 2.1 added the functionality to install IPA files. Version 2.5 streamlined the authorization process, executing it on each device using a single thread to reduce code complexity and improve authorization speed. The tool requires a compilation environment with Vcpkg, gRPC, Protobuf, and OpenSSL, and users need to have access to a VPN for successful configuration.
ezdata
Ezdata is a data processing and task scheduling system developed based on Python backend and Vue3 frontend. It supports managing multiple data sources, abstracting various data sources into a unified data model, integrating chatgpt for data question and answer functionality, enabling low-code data integration and visualization processing, scheduling single and dag tasks, and integrating a low-code data visualization dashboard system.
aise
The repository 'aise' is an open-source electronic book focusing on AI-assisted software engineering. It covers the latest AI-assisted software engineering practices, implementation details from AI models to IDE plugins, and practical experiences in coding intelligent agents. The book aims to provide insights on leveraging AI to enhance software development efficiency and effectiveness across the entire software development lifecycle.
500
Simple Config GeoIP for Quantumult X is a pre-configured file package containing rules for unlocking Apple News, ad blocking, TikTok unlock Rewrite, machine routing rules, and VIP video resolution rewriting. It integrates multiple rewrite configurations using Quantumult X and GeoIP features to remove most rules to save resources, and provides corresponding shortcuts for rule and configuration simplification through Vercel redirection.
llm_note
LLM notes repository contains detailed analysis on transformer models, language model compression, inference and deployment, high-performance computing, and system optimization methods. It includes discussions on various algorithms, frameworks, and performance analysis related to large language models and high-performance computing. The repository serves as a comprehensive resource for understanding and optimizing language models and computing systems.
prompt-optimizer
Prompt Optimizer is a powerful AI prompt optimization tool that helps you write better AI prompts, improving AI output quality. It supports both web application and Chrome extension usage. The tool features intelligent optimization for prompt words, real-time testing to compare before and after optimization, integration with multiple mainstream AI models, client-side processing for security, encrypted local storage for data privacy, responsive design for user experience, and more.
Windrecorder
Windrecorder is an open-source tool that helps you retrieve memory cues by recording everything on your screen. It can search based on OCR text or image descriptions and provides a summary of your activities. All of its capabilities run entirely locally, without the need for an internet connection or uploading any data, giving you complete ownership of your data.
Awesome-LLM-Eval
Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.
uuWAF
uuWAF is an industrial-grade, free, high-performance, highly extensible web application and API security protection product that supports AI and semantic engines.
llms-from-scratch-cn
This repository provides a detailed tutorial on how to build your own large language model (LLM) from scratch. It includes all the code necessary to create a GPT-like LLM, covering the encoding, pre-training, and fine-tuning processes. The tutorial is written in a clear and concise style, with plenty of examples and illustrations to help you understand the concepts involved. It is suitable for developers and researchers with some programming experience who are interested in learning more about LLMs and how to build them.
CGraph
CGraph is a cross-platform **D** irected **A** cyclic **G** raph framework based on pure C++ without any 3rd-party dependencies. You, with it, can **build your own operators simply, and describe any running schedules** as you need, such as dependence, parallelling, aggregation and so on. Some useful tools and plugins are also provide to improve your project. Tutorials and contact information are show as follows. Please **get in touch with us for free** if you need more about this repository.
