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Releases: containers/ai-lab-recipes

v1.1.2

21 May 17:10
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This release upgraded version (v0.2.75) of llama-cpp-python bindings for llama.cpp, which will prevent us from hitting CVE-2024-34359.
Other changes:

  • Testing changes, workflow cleanup, increasing test coverage, and introduce e2e tests interfacing with Ilab
  • Bootc images disk-image support
  • object detection recipe + MS refactor
  • Milvus vector database support for RAG
  • General recipes and Bootc Training fixes

What's Changed

New Contributors

Full Changelog: v1.1.1...v1.1.2

v1.1.1

03 May 13:55
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What's Changed

New Contributors

Full Changelog: v1.1.0...v1.1.1

v1.1.0

02 May 18:27
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Release v1.1.0 is once again targeted at bringing containers/ai-lab-recipes into alignment with containers/podman-desktop-extension-ai-lab.

Core differences:

  • Introduction of grainte-7b-lab as the standard model for (mostly) all of our natural language processing applications
  • General improvements to Summarizer and Audio-to-Text recipes
    • Greater variety of supported input file types
  • Introduction of an experimental /training directory for building hardware accelerated bootc images to support training workloads
  • Increased workflow build coverage
  • Integration with @platform-engineering-bot to provide automated dependency bumps

What's Changed

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Release v1.0.0

17 Apr 21:08
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Release v1.0.0 is meant to bring containers/ai-lab-recipes in alignment with the work undergone by the Podman Desktop team in their repo (containers/podman-desktop-extension-ai-lab). The following recipes give first-class support with respect to running as catalog recipes within Podman Desktop:

  • chatbot
  • codegen
  • sumarrizer
  • whisper + audio_to_text
  • object_detection

The following recipes are under development with respect to their workflow within the Podman Desktop AI-lab extension but are considered stable running locally and in the context of this repo:

  • RAG
  • multimodal

Full change log

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