LibreAI / Design / gen-ai-experiments
// design Β· buildfastwithai/gen-ai-experiments

gen-ai-experiments

Jupyter notebook guide to AI tools and technologies, experiment by experiment

πŸ’Ž Hidden gemβ˜… 785 starsβ‘‚ 225 forksMITupdated 2026-09
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

gen-ai-experiments is an open-source design project by buildfastwithai (buildfastwithai/gen-ai-experiments on GitHub). It has 785 GitHub stars and 225 forks, is released under the MIT license, and was last updated on GitHub on 22 September 2026.

GitHub stars
785
Forks
225
License
MIT
Last updated on GitHub
22 September 2026
Category
Design
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clone the repo

    Get the notebook collection.

  2. Open Jupyter

    Launch the notebooks locally or in Colab.

  3. Run experiments

    Execute cells covering AI tools and tech.

  4. Build on it

    Adapt experiments to your own projects.

// features

Why people love it

Hands-on notebooks

Learn by running, not reading.

Broad coverage

Many AI tools and technologies.

Beginner friendly

A guided path through GenAI.

Runnable code

Every concept has an experiment.

Course companion

Pairs with the BuildFastWithAI course.

MIT licensed

Free for commercial use with attribution.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/buildfastwithai/gen-ai-experiments.git
    cd gen-ai-experiments
  2. Step 2 β€” Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 β€” Run it

    Follow the project's launch command β€” Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains gen-ai-experiments?

It is an open-source project at buildfastwithai/gen-ai-experiments with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is it free for commercial use?

MIT licensed β€” commercial use allowed with attribution.

Do I need a GPU?

Some experiments may; many run on CPU or Colab.

Is it a course?

A notebook collection that pairs with a GenAI course.

Beginner friendly?

It is designed as a guided, comprehensive introduction.

// keep exploring

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// alternatives

Alternatives in Design

The most-starred other Design projects in the LibreAI catalogue β€” the realistic shortlist if gen-ai-experiments is not the right fit.

Get gen-ai-experiments

Free and open β€” grab the source, star the repo, and start creating.