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Ready-to-assemble AI

Project description

flatpack.ai

NOTE: flatpack.ai is currently experimental. Please refrain from using it in production environments.

Ready-to-assemble AI

flatpack.ai aims to be the go-to platform for AI experimentation and innovation, from educational settings to the highest echelons of industry and research.

flatpack 3.X.X (Aglaonice)

Aglaonice, an ancient Greek astronomer from the 2nd or 1st century BC, was celebrated for her precise lunar eclipse predictions. Her mastery inspired the Greek proverb: "As the moon obeys Aglaonice," signifying unwavering certainty.

3.0.0 (2023-10-20)
Moved to a predictable and structured release strategy.

Moving to versioning structure: 3.0.0

Our previous releases were a mix of minor tweaks and significant shifts, making it challenging to anticipate the nature of changes. With the introduction of version 3.0.0, we are embracing a predictable and structured release strategy:

  • Major versions (X.0.0): These signify significant changes or updates.
  • Minor versions (3.X.0): Introduce new features without breaking compatibility.
  • Patch versions (3.0.X): Address bug fixes and minor refinements.

This move is not merely about semantic versioning. It is a pledge for clear communication and trust with our users. We invite you to explore our new release strategy and appreciate your patience as we evolve.

Explore the Project on GitHub

License

This project is released under Apache-2.0.

install_requires

BSD-3-Clause (INBOUND) is compatible with Apache-2.0 (OUTBOUND) for combined works but does not allow re-licensing of the original BSD-licensed component when distributed separately (JLA 2023).

MIT (INBOUND) is compatible with Apache-2.0 (OUTBOUND) for combined works but does not allow re-licensing of the original MIT-licensed component when distributed separately (JLA 2023).

Check out the JLA - Compatibility Checker ( European Commission 2023).

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