A curated list of modern Generative Artificial Intelligence projects and services.
Generative Artificial Intelligence is a technology that creates original content such as images, sounds, and texts by using machine learning algorithms that are trained on large amounts of data. Unlike other forms of AI, it is capable of creating unique and previously unseen outputs such as photorealistic images, digital art, music, and writing. These outputs often have their own unique style and can even be hard to distinguish from human-created works. Generative AI has a wide range of applications in fields such as of art, entertainment, marketing, academia, and computer science.
Contributions to this list are welcome. Before submitting your suggestions, please review the Contribution Guidelines to ensure your entries meet the criteria. Add links through pull requests or create an issue to start a discussion. More projects can be found in the Discoveries List, where we showcase a wide range of up-and-coming Generative AI projects.
Article summarizing the capabilities and limitations of the GPT-3 model, and its potential impact on society. By Alex Tamkin and Deep Ganguli, February 5, 2021.
A comprehensive examination of the generative AI industry, offering a historical perspective and in-depth analysis of the industry ecosystem. By Sonya Huang, Pat Grady and GPT-3, September 19, 2022.
Article about the rise of generative AI, particularly the success of the Stable Diffusion image generator, and the associated controversies. New York Times, October 21, 2022.
Article about the growing hype and investment in generative AI startups, with various industries exploring its potential applications. Wired, October 27, 2022.
Announcement of the release of DALL·E 2, an advanced image generation system with improved resolution, expanded image creation capabilities, and various safety mitigations. OpenAI blog, April 6, 2022.
Announcement of the public release of Stable Diffusion, an AI-based image generation model trained on a broad internet scrape and licensed under a Creative ML OpenRAIL-M license. Stable Diffusion blog, 22 August, 2022.
Announcement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. OpenAI blog, November 30, 2022.
Open Pretrained Transformers (OPT) by Facebook is a suite of decoder-only pre-trained transformers. [Announcement](https://ai.meta.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/).
Mem is the world's first AI-powered workspace that's personalized to you. Amplify your creativity, automate the mundane, and stay organized automatically.
An AI memory assistant for recording conversations and meetings, generating summaries, and searching past interactions across apps and an optional wearable.
Sybill generates summaries of sales calls, including next steps, pain points and areas of interest, by combining transcript and emotion-based insights.
Loopin is a collaborative meeting workspace that not only enables you to record, transcribe & summaries meetings using AI, but also enables you to auto-organise meeting notes on top of your calendar.
An AI copilot for wherever you work, making your meetings, emails, and messages more productive with summaries, content discovery, and recommendations.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. [#opensource](https://github.com/stanford-oval/storm/)
Open-source AI-powered tool for systematic reviews, helping researchers screen large volumes of academic literature efficiently. [#opensource](https://github.com/asreview/asreview)
A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. [#opensource](https://github.com/LearningCircuit/local-deep-research)
Open-source AI code assistant. Connect any model and any context to create custom autocomplete and chat experiences inside the IDE. [#opensource](https://github.com/continuedev/continue)
An open-source, configurable AI assistant in Jupyter Notebook and JupyterLab that supports 100+ LLMs, including locally-hosted models from Ollama and GPT4All. #opensource
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. [#opensource](https://github.com/mlflow/mlflow)
An open-source LLM router that routes agent requests to the most cost-effective model, with usage limits and model benchmarking. [#opensource](https://github.com/mnfst/manifest)
An open standard for connecting AI models to external tools and data sources. [MCP Registry](https://registry.modelcontextprotocol.io/) [#opensource](https://github.com/modelcontextprotocol/modelcontextprotocol)
An open-source browser sandbox and automation infrastructure for AI agents, with session management, screenshots, PDFs, proxies, and anti-bot tooling. #opensource
Open format and reference SDK for packaging reusable capabilities and expertise for AI agents. [#opensource](https://github.com/agentskills/agentskills)
A self-improving personal agent with memory, messaging integrations, and sandboxed tool execution. [#opensource](https://github.com/NousResearch/hermes-agent)
Make-A-Scene by Meta is a multimodal generative AI method puts creative control in the hands of people who use it by allowing them to describe and illustrate their vision through both text descriptions and freeform sketches.
A list of all public apps, developer tools, guides and plugins for Stable Diffusion. [Airtable version](https://airtable.com/shr0HlBwbw3nZ8Ht3/tblxOCylXV8ynh7ti).
A Whisper CLI client compatible with the original OpenAI client, using CTranslate2 for faster inference. [#opensource](https://github.com/Softcatala/whisper-ctranslate2)
A free DeepLearning.AI short course on how to prompt computer vision models with natural language, bounding boxes, segmentation masks, coordinate points, and other images.
Interactive visualization of how transformer-based LLMs work, running a live GPT-2 model in the browser. [#opensource](https://github.com/poloclub/transformer-explainer)
