Top Related Projects
This repo includes ChatGPT prompt curation to use ChatGPT better.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI
Quick Overview
The humanloop/awesome-chatgpt repository is a curated list of resources, tools, and applications related to ChatGPT and other large language models. It serves as a comprehensive guide for developers, researchers, and enthusiasts interested in exploring and leveraging ChatGPT's capabilities.
Pros
- Extensive collection of resources covering various aspects of ChatGPT and related technologies
- Regularly updated with new tools, libraries, and applications
- Well-organized structure with clear categories for easy navigation
- Community-driven project with contributions from multiple developers
Cons
- May become overwhelming due to the large number of resources listed
- Some links may become outdated over time if not regularly maintained
- Lacks detailed descriptions or reviews of individual resources
- May not cover all available resources in the rapidly evolving field of language models
Note: As this is not a code library, the code example and quick start sections have been omitted.
Competitor Comparisons
This repo includes ChatGPT prompt curation to use ChatGPT better.
Pros of awesome-chatgpt-prompts
- Focused specifically on ChatGPT prompts, providing a curated list of effective prompts
- Regularly updated with new prompts and contributions from the community
- Includes a wide variety of prompt categories, catering to different use cases
Cons of awesome-chatgpt-prompts
- Limited to prompts only, lacking broader information about ChatGPT and its ecosystem
- May not provide as much context or explanation for each prompt's purpose or effectiveness
- Less comprehensive in terms of tools, libraries, and resources related to ChatGPT
Code comparison
While both repositories are primarily markdown-based and don't contain significant code, awesome-chatgpt-prompts includes a simple JavaScript file for rendering prompts:
const promptsContainer = document.getElementById('prompts');
prompts.forEach(prompt => {
const promptElement = document.createElement('div');
promptElement.innerHTML = `<h3>${prompt.act}</h3><p>${prompt.prompt}</p>`;
promptsContainer.appendChild(promptElement);
});
awesome-chatgpt, on the other hand, is purely markdown-based and doesn't include any code for rendering or interacting with the content.
Both repositories serve different purposes, with awesome-chatgpt-prompts focusing on a collection of prompts, while awesome-chatgpt provides a broader overview of ChatGPT-related resources, tools, and information.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Pros of awesome-chatgpt-prompts-zh
- Focuses specifically on Chinese language prompts, catering to a Chinese-speaking audience
- Includes a wider variety of prompt categories, such as role-playing and specific task-oriented prompts
- Regularly updated with new prompts and categories
Cons of awesome-chatgpt-prompts-zh
- Limited to Chinese language content, reducing accessibility for non-Chinese speakers
- Less comprehensive in terms of general ChatGPT resources and tools
- Lacks detailed explanations or context for some prompts
Code Comparison
awesome-chatgpt:
## Prompts
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
- [ChatGPT 中文调教指南](https://github.com/PlexPt/awesome-chatgpt-prompts-zh)
awesome-chatgpt-prompts-zh:
# 角色扮演
## 担任英语翻译和改进者
> 我希望你能担任英语翻译、拼写校对和修辞改进的角色。我会用任何语言和你交流,你会检测语言,翻译它,并在我的文本中回复更正后的版本,改进我的拼写、语法和修辞。我希望你用更优美和高级的英语单词和句子来替换我的简单表达。保持意思相同,但使它们更文艺。我希望你只回复更正、改进,不要写任何解释。我的第一句话是"istanbulu cok seviyom burada olmak cok guzel"
## 担任英翻中翻译
> 我想让你充当英语到中文的翻译。我会用英语和你说话,你会用中文翻译它。我希望你不要用音译,而是准确地翻译意思。请将高级词汇翻译成更漂亮、优雅的中文表达方式。我首先要说的是"Hello, how are you?"
🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI
Pros of awesome-chatgpt
- More comprehensive and regularly updated list of resources
- Better organization with clear categories and subcategories
- Includes a wider range of topics, including ethical considerations and limitations
Cons of awesome-chatgpt
- Less focus on developer-specific tools and libraries
- Fewer code examples and implementation details
- May be overwhelming for beginners due to the sheer volume of information
Code Comparison
awesome-chatgpt:
## Prompts
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts) - A collection of prompt examples to be used with ChatGPT.
- [ShowGPT](https://showgpt.co/) - See and share ChatGPT responses.
humanloop/awesome-chatgpt:
import openai
openai.api_key = "your-api-key"
response = openai.Completion.create(
engine="text-davinci-002",
prompt="Translate the following English text to French: '{}'",
max_tokens=60
)
The awesome-chatgpt repository provides a more extensive list of resources and tools related to ChatGPT, with a focus on general use cases and applications. It offers better organization and covers a wider range of topics, including ethical considerations and limitations.
On the other hand, the humanloop/awesome-chatgpt repository is more developer-oriented, providing code examples and implementation details for working with ChatGPT APIs. It may be more suitable for those looking to integrate ChatGPT into their projects or explore its technical aspects.
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual CopilotREADME
Awesome ChatGPT
Curated list of resources for ChatGPT and GPT-3 from OpenAI
GPT General Resources
ChatGPT Community / Discussion
API tools
- Unofficial API in Python
- TLS-based API (Python)
- Unofficial API in JS/TS
- Unofficial API in Dart
- ChatGPT (GPT-3.5-turbo) API Client in Golang
Chrome Extensions
- Chrome extension to access ChatGPT as a popup on any page
- Extension to display ChatGPT response alongside Google Search results
- Extension to add share abilities to ChatGPT (PDF, PNG or a sharable link)
- Chrome extension to add input history, copy, and counters to ChatGPT
- ChassistantGPT - embeds ChatGPT as a hands-free voice assistant in the background
- WebChatGPT - augment your prompts to ChatGPT with web search results
- Talk to ChatGPT (voice interface)
Access ChatGPT from other platforms
- Serverless Telegram bot
- WhatsApp bot
- RayCast Extension (unofficial)
- VSCode extension (demo)
- Emacs org-mode package
- Neovim plugin
- Go Telegram bot
- Twitter Bot powered by ChatGPT
- Chrome extension
- Google docs
- Mac menubar app
- Multi-platform desktop app (Windows, Mac, Linux) powered by ChatGPT & Tauri
- Windows, Mac, Linux desktop app
- Jetbrains IDEs plugin
- ChatGPT for Slack Bot
- ChatGPT for Discord Bot
- MindMac - An intuitive macOS app, powered by ChatGPT API and designed for maximum productivity. Built-in prompt templates, support GPT-3.5 and GPT-4. Currently available in 15 languages.
Tutorials
Social Tools
Applications
- Adrenaline: Debugger that fixes errors and explains them with GPT-3
- ChatARKit: Using ChatGPT to Create AR Experiences with Natural Language
- GPT3 Blog Post Generator
CLI tools
- Voice-based chatGPT
- Explain your runtime errors with ChatGPT
- GPT3 WordPress post generator
- Assistant CLI
- AI Commit - Automagically generate conventional commit messages with AI
- Use ChatGPT to generate PPT automatically, all in one single file
- SearchGPT: Connecting ChatGPT with the Internet
- Promptform: Run GPT in bulk
DevOps
- ChatGPT Code Review
- Kubernetes and Prometheus ChatGPT Bot
- AI-powered Infrastructure-as-Code Generator
Cybersecurity
Example prompts
- Awesome ChatGPT prompts ... just follow @goodside
Contribution
This list started as personal collection of interesting things about chatGPT from OpenAI. Your contributions and suggestions are warmly welcomed.
Top Related Projects
This repo includes ChatGPT prompt curation to use ChatGPT better.
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot