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A repository of 60 useful data science prompts for ChatGPT
The main features of travistangvh/chatgpt-data-science-prompts are: Prompt Collections, Prompt Engineering, Curated AI Collections, Data Science Environments.
Projects with overlapping indexed features include: f/prompts.chat — This platform serves as a centralized management system for organizing, refining, and versioning AI instructions and… sindresorhus/awesome-chatgpt — 🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI. f/awesome-chatgpt-prompts — This project is a curated library of community-driven prompt templates and personas designed to improve interactions… rohitg00/awesome-ai-apps — This project serves as a curated directory and resource hub for developers working with generative artificial… yhat/rodeo — Rodeo is an interactive Python notebook environment and integrated development environment designed for data science.… anthropics/courses — This repository serves as an educational resource and technical guide for developers learning to integrate large…
This platform serves as a centralized management system for organizing, refining, and versioning AI instructions and agent skills. It functions as a repository that enables users to store, categorize, and retrieve structured prompts, ensuring consistent performance across various artificial intelligence models. By integrating with the Model Context Protocol, the system allows external AI assistants and development environments to discover and access these instruction libraries directly. The platform distinguishes itself through its focus on prompt engineering and automated refinement, utilizi
🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI
This project is a curated library of community-driven prompt templates and personas designed to improve interactions with large language models. It functions as a prompt engineering guide, providing interactive tutorials and examples to teach advanced design and reasoning techniques. The library can operate as a Model Context Protocol server, providing a standardized interface for AI tools and agents to access prompt data as a service. For organizations, it offers a self-hosted repository option that allows for private deployment on internal infrastructure with custom authentication and data
This project serves as a curated directory and resource hub for developers working with generative artificial intelligence. It provides a comprehensive index of open-source software solutions, frameworks, and project examples designed to help users discover and implement advanced AI systems. The repository focuses on practical implementations of agentic, multimodal, and retrieval-augmented generation architectures. It highlights tools for building conversational assistants, voice-enabled agents, and automated workflows that leverage large language models. By showcasing diverse technical domai