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ChatMind 是一个利用 AI 自动生成思维导图的在线工具,只需要输入问题、文章、数据就可以了。并且对于问题,它还能自己获取答案,可导出图片与 Markdown 文档两种格式。
Using ChatGPT/GPT-3.5/GPT-4 in the terminal. Written in Rust.
written in Rust
written in Go
- https://github.com/Nemoden/gogpt
- https://github.com/tbckr/sgpt
- https://github.com/shellfly/aoi
- https://github.com/j178/chatgpt
- https://github.com/charmbracelet/mods
written in Python
- https://github.com/npiv/chatblade
- https://github.com/TheR1D/shell_gpt
- https://github.com/reorx/ai.py A single-file Python script that interacts with ChatGPT API in the command-line.
- https://llm.datasette.io/en/stable/index.html A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.
written in Bash
- https://github.com/0xacx/chatGPT-shell-cli Simple shell script to use OpenAI's ChatGPT and DALL-E from the terminal. No Python or JS required.
- https://github.com/janlay/openai-cli
- https://github.com/TBXark/shell-ask source
- https://github.com/AlexW00/cli-gpt
- https://github.com/allen-munsch/hey_gpt_hey_whisper
- https://github.com/TNG/please-cli An AI helper for creating CLI commands
- https://github.com/simonmysun/ell Pipe friendly, Function calling
- https://github.com/closedloop-technologies/autocomplete-sh Context-Aware: Considers terminal state, recent commands, and
--help
information
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
Get a summary of any long YouTube video, like a lecture, live event or a government meeting. Powered by ChatGPT.
summarize-tech 生成的摘要有 2 个级别,每段都在100个英文单词左右
- 以每 1 个小时为单位,生成一段摘要
- 以每 5 分钟为单位,生成一段摘要
适合长视频(例如讲座、访谈、会议),对于短视频(例如 10 分钟左右的新闻),Glarity 可以帮你用 20 秒看完梗概。
由 ChatGPT API gpt-3.5-turbo & gpt-4 模型驱动的智能 Siri,支持连续对话,配置API key,配置系统prompt,保存聊天记录。
从 PDF 文件中快速提取有用信息
使用 ChatGPT 帮助用户制作多语言版本的 epub/txt 文件和图书,书籍翻译
Similar:
Powered by GPT-3.5 AI
你可以轻易地生成 ideas、博客、计划、简历、故事、口号、笑话,甚至歌词🤣,而无需绞尽脑汁思考 Prompt。
它还可以用于翻译、语法检测和代码修复,发挥无限可能。
Teach you Anything in seconds.
This project uses the OpenAI GPT-3 API (specifically, text-davinci-003) and Vercel Edge functions with streaming. It constructs a prompt based on the form and user input, sends it to the GPT-3 API via a Vercel Edge function, then streams the response back to the application.
与AI生成的历史人物聊天
该网站允许用户创建"角色",上传与该角色相关的资料,网站就会自动使用 AI 分析这些资料,生成该角色的聊天机器人,然后用户就可以跟它聊天了。