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Releases: quic/ai-hub-apps

v0.5.0

17 Dec 19:13
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What’s new

  • Added QCS8550 chipset in Android ChatApp
  • Added list of Production devices and OS to run Android ChatApp

Fixes and updates

  • Fixed links and documentation for llm-on-genie tutorial
  • Update TFLite-QNN Maven Repository name to LiteRT-QNN

v0.4.0

27 Nov 19:35
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New Additions

  • Sample Android Chat App based on Genie C++ API

v0.3.2

13 Nov 03:33
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New Additions

  • Updated LLM on-device deployment supported device table, as well other edits
  • Fixed Llama 3 prompt in ChatApp
  • Fixed typo in whisper export command

v0.3.1

21 Oct 20:46
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New Additions

  • Added reference to the newly released WhisperKit for Android, by our collaborator Argmax
  • Guide for running LLMs (Llama3) on-device using the Qualcomm AI Engine Direct SDK.

v0.3.0

08 Oct 23:53
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New Additions

  • Added Windows Sample Applications: LLamaV2 Chat, Whisper Speech-to-Text (Python), Classification, Super Resolution

Quality Improvements & Bug Fixes

  • Android Applications now use QNN directly from Maven. (Previous code would download a copy of the SDK and manually extract it).

v0.2.1

27 Aug 20:33
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New Additions:

  • Example Windows app using ONNX runtime and NPU acceleration via the QNN execution provider:

    • ObjectDetection: Detect objects in an image and annotate them with bounding boxes

v0.1.1

17 Jul 19:57
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New Additions:

  • Example Android apps using TFLite and NPU acceleration via the QNN delegate:

    • ImageClassification: Image classification on still images
    • SemanticSegmentation: Semantic segmentation on live camera feed
    • SuperResolution: Super resolution on still images