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awesome-generative-ai

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A curated list of modern Generative Artificial Intelligence projects and services

A curated directory of generative AI tools and projects covering text, image, audio, video, and coding, organized in one place so you can quickly find what exists in the field.

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This repository is a curated directory of generative AI projects and tools, organized by category. Generative AI refers to systems that produce original content such as images, text, audio, and video, by learning patterns from large amounts of existing data. The list was assembled to give developers, researchers, and curious readers a single place to discover what exists in this fast-changing field.

The directory is divided into sections covering text models, chatbots, coding tools, agents, image generators, video tools, audio tools, and learning resources. Each section links to specific products, APIs, or open-source projects with a brief description. Text tools include well-known options like ChatGPT, Claude, Gemini, Llama, and Mistral, as well as smaller or more specialized models. Image sections cover tools like DALL-E and Stable Diffusion. The coding section points to AI-assisted coding products like GitHub Copilot.

The list also includes a milestones section, documenting key moments in the history of generative AI such as the public release of Stable Diffusion, the launch of ChatGPT, and the introduction of GPT-4. A recommended reading section links to articles and essays providing context about what these systems are, what they can do, and what debates surround them.

The repository accepts contributions via pull requests and maintains a separate Discoveries list for newer or emerging projects not yet in the main directory. It follows the "awesome list" format, a community-curated convention on GitHub for collecting useful links.

This is a reference tool, not a piece of software. There is no code to run or install. Its value is in aggregation: one place to scan what generative AI products exist across text, image, audio, and video categories. The full README is longer than what was shown.

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