Releases: oracle/accelerated-data-science
Releases · oracle/accelerated-data-science
ADS 2.13.16
ADS 2.13.15
- Relaxes the version constraint for Matplotlib to improve compatibility with a broader range of environments and dependencies.
v2.13.14
ADS 2.13.13
- 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
- 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
- AI Quick Actions: Added support for LlamaCpp in the client to enable the new
predictWithResponseStream
endpoint for streaming inference.
ADS 2.13.10
- AI Quick Actions: Enhanced the client to support the new
predictWithResponseStream
endpoint for streaming inference.
ADS 2.13.9
- 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
- AI Quick Actions: Adds support for image-text-to-text models in multi-model deployment.
ADS 2.13.7
- 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.