7.0.1
This release addresses several key issues related to annotation workflows and server responsiveness. The following bugs have been resolved:
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LLM Comparion Template We’ve added a new template under both Text and HTML types that lets you easily compare responses from multiple LLMs side by side — perfect for faster and clearer model evaluation.
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Incorrect Annotation Placement in NER Annotation Fixed an issue where NER annotations were being placed incorrectly on the text, ensuring accurate and consistent label positioning.
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Delay While Loading Servers in Cluster Page and Import Task Page Resolved performance delays occurring when OCR servers were already deployed and ready. Server lists now load promptly across relevant pages.
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Unable to Add Key-Value Metadata to NER Labels Fixed a bug preventing users from adding custom metadata to NER labels. Users can now seamlessly assign key-value metadata to improve label context and utility.
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License with Scope app:GenerativeAI Not Supported Fixed an issue where licenses with the scope app:GenerativeAI were not recognized. Such licenses are now correctly processed and validated.
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Incorrect Floating License Scope Information Displayed Resolved a display bug where incorrect scope details were shown for floating licenses. Scope information is now accurately presented to users.
HCC Bug Fixes
- Fixed issue where task ranking was not included during export in HCC projects.
- Resolved bug causing HCC codes to be hidden in the annotation section despite being mapped and visible in tasks.
- Addressed issue where the lookup code was not selected by default in the dataset list.
- Ensured consistent state of labels in the annotation section when selected in HCC projects.
- Fixed a UI crash that occurred when users clicked on predicted labels for prediction completions in HCC projects.
- Resolved error preventing resolvers from being added to HCC project entities due to domain mismatch.
- Enabled usage of the ICD10 resolver model mpnetresolve_icd10_cms_hcc_2024_midyear in HCC projects.