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  2. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI Codex is an artificial intelligence model that parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool, and is based on OpenAI's GPT-3 model, fine-tuned for use in programming applications.

  3. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of various IDEs by autocompleting code. It uses a deep-learning model trained on public source code and natural language queries, and has faced licensing, privacy, and security controversies.

  4. Adobe Firefly - Wikipedia

    en.wikipedia.org/wiki/Adobe_Firefly

    Adobe Firefly is a generative machine learning model that creates photos, videos and audio from text or images. It is part of Adobe Creative Cloud and uses data from various sources to generate designs.

  5. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created by Midjourney, Inc., a San Francisco-based research lab. It generates images from natural language descriptions, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.

  6. Yeoman (software) - Wikipedia

    en.wikipedia.org/wiki/Yeoman_(software)

    Yeoman is a command-line interface for Node.js that generates templates, manages dependencies, tests, and optimizes web applications. It is an open source project with over 5600 generators created by the community.

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    Learn about text-to-image models, machine learning systems that generate images from natural language descriptions. Explore the history, architecture, datasets, and quality evaluation of these models, and see examples of their output.

  8. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Learn about the history, applications, and challenges of generative AI, which is AI capable of creating text, images, videos, or other data using generative models. Explore examples of generative AI systems, such as chatbots, text-to-image models, and transformer networks.

  9. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Learn about the history and features of various programming languages used for AI applications, such as Python, R, Lisp, C++, and Prolog. Compare general-purpose and specialized languages, and their libraries and frameworks.