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Releases: oracle/accelerated-data-science

v2.13.14

11 Jul 05:34
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Resolve issues with AQUA telemetry reporting

ADS 2.13.13

11 Jul 00:18
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  • Enhance the AQUA OpenAI-compatible client to support multiple inference endpoints within OCI Model Deployment.
  • Add support for time series forecasting models in AQUA.
  • Improve the AQUA CLI by adding a policy verification check for operations related to AQUA.
  • Introduce support for chat templates in AQUA.

ADS 2.13.12

18 Jun 19:51
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  • AI Quick Actions: Added support for easy installation of AI Quick Actions extension from JupyterLab and improve telemetry.
  • AI Quick Actions: Bug fix while registering HuggingFace models in UI.

ADS 2.13.11

06 Jun 15:32
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  • AI Quick Actions: Added support for LlamaCpp in the client to enable the new predictWithResponseStream endpoint for streaming inference.

ADS 2.13.10

05 Jun 17:06
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  • AI Quick Actions: Enhanced the client to support the new predictWithResponseStream endpoint for streaming inference.

ADS 2.13.9

19 May 22:21
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  • Additional precision support in ForecastOperator.
  • AI Quick Actions: Use defined-metadata to include configuration for fine-tuned models.
  • AI Quick Actions: Support for embedding models in a multi model deployment.
  • AI Quick Actions: Fixed a bug in multi-model deployment to use model artifact json directly instead of accessing service bucket when creating a new grouped model.
  • AI Quick Actions telemetry improvements and enhancement to use threadpool instead of creating unbounded number of threads for telemetry.
  • AI Quick Actions: Support for list API for compute capacity reservations to onboard Bring-your-own-reservations (BYOR).
  • AI Quick Actions: Fixed a bug which now allows multiple parameters for deployment parameters.
  • AI Quick Actions: Enhances the model deployment logic for vLLM architecture version.
  • AI Quick Actions: Enhances functionality to retrieve deployment configuration for fine-tuned models.

ADS 2.13.8

15 Apr 05:25
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  • AI Quick Actions: Adds support for image-text-to-text models in multi-model deployment.

ADS 2.13.7

14 Apr 20:27
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  • AI Quick Actions: Removing OSS bucket config dependency.
  • Fixed a bug in the ADSDataset type inference logic. Resolved an issue where the dataset incorrectly identified column types during automatic type discovery.

ADS 2.13.6

07 Apr 21:25
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  • Fixed PII operator report generator script to use the latest code from report-creator.
  • AI Quick Actions: Enhance the container family validation for multi-model deployment.

ADS 2.13.5

03 Apr 16:05
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  • Added support for OpenAI and AsyncOpenAI clients to enable seamless integration with OCI-based LLM model deployments.
  • AI Quick Actions: Enhanced error message handling for clearer diagnostics and improved user experience.
  • AI Quick Actions: Introduced support for Multi-Model Deployment, allowing users to deploy multiple models within a single endpoint.