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* changes * changes for 690 and 691 release notes alab * changes --------- Co-authored-by: Pranab Rajbhandari <pranabrajbhandari@Pranabs-MacBook-Pro.local>
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docs/_data/navigation.yml

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url: /docs/en/alab/transfer_learning
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- title: Test Project Configuration
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url: /docs/en/alab/test_project_configuration
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- title: LangTest
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url: /docs/en/alab/langtest
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- subtitle: Administration
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children:
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- title: User Management
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---
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layout: docs
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header: true
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seotitle: Generative AI Lab | John Snow Labs
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title: Generative AI Lab Release Notes 6.9.1
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permalink: /docs/en/alab/annotation_labs_releases/release_notes_6_9_1
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key: docs-licensed-release-notes
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modify_date: 2024-11-26
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show_nav: true
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sidebar:
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nav: annotation-lab
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---
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<div class="h3-box" markdown="1">
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## 6.9.1
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Release date: **12-18-2024**
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This hotfix addresses critical bugs and improves functionality for a smoother user experience.
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### Bug Fixes:
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- The issue preventing the import of text/html file types into HTML project types has been resolved.
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- A defect causing annotations to not display in HTML project types has been fixed.
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- An issue where HTML links were not rendered in HTML project types has been addressed.
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- The error blocking the import of sample tasks for the HTML Website Rating project type has been corrected.
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- The problem causing annotations to not appear for text containing embedded links has been resolved.
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- The defect preventing the selection or deselection of the Visual NER model on the reuse resource page in Visual NER projects has been fixed.
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- The issue where predictions were not generated for the re_drugprot_clinical model has been addressed.
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</div><div class="prev_ver h3-box" markdown="1">
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## Versions
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</div>
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{%- include docs-annotation-pagination.html -%}

docs/en/alab/release_notes.md

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</div>
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<ul class="pagination owl-carousel pagination_big">
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<li><a href="annotation_labs_releases/release_notes_6_9_1">6.9.1</a></li>
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<li class="active"><a href="annotation_labs_releases/release_notes_6_9_0">6.9.0</a></li>
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<li><a href="annotation_labs_releases/release_notes_6_8_1">6.8.1</a></li>
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<li><a href="annotation_labs_releases/release_notes_6_8_0">6.8.0</a></li>

docs/en/alab/tags_image.md

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The **zoom** and **zoomControl** parameters in the `Image` tag enable you too zoom in or out the image.
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</div>
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</div>
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### Identify and Validate Checkboxes with Precision
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Version 6.9.0 introduces a new project type called **Checkbox Detection**. With the new update, users can now use the model offered by Generative AI Lab to identify checkboxes in the tasks, including the **checked** and **unchecked** status in the respective tasks.
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This project type can be selected from the **Content Type** page under the **Image** tab during project setup. The default model associated with Checkbox Detection is automatically downloaded from the **Models Hub** page and added to the project configuration.
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![690image](/assets/images/annotation_lab/6.9.0/1.png)
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After the project is configured, users can add relevant tasks and leverage the model to detect checkboxes and their respective checked and unchecked statuses.
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![690image](/assets/images/annotation_lab/6.9.0/2.png)
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This new update integrates seamlessly with the existing workflow, ensuring no changes or disruptions to the current application processes.
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This model can not currently be combined with other models.
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### Detect and Validate Handwritten Text and Signatures
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This update continues with the **Handwritten Text and Signature Detection** project type. This new feature enables the automatic identification and annotation of handwritten text and signatures within documents, using John Snow Lab's Visual NLP Library. The new project type can be selected from the **Content Type** page under **Image** tab during project configuration. Upon selection, the default model for Handwritten Text and Signature Detection is automatically downloaded from the **Models Hub** and integrated into the project configuration.
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![690image](/assets/images/annotation_lab/6.9.0/3.png)
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Users can then add relevant tasks to the project and use the model to identify and annotate handwritten content and signatures in documents efficiently.
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![690image](/assets/images/annotation_lab/6.9.0/4.png)
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This feature doesn't change the existing application workflow, and can not be combined with other models at this time.

docs/en/alab/tags_pdf.md

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You can rate PDF in Generative AI Lab. The `HyperText` tag shows the PDF, when you specify "pdf" as the **name** parameter and pdf header of the JSON in the **value** parameter. To rate the article, you also need the `Rating` tag. The `Rating` tag adds a rating selection to the labeling interface. A simple example configuration is shown below.
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![rate-pdf](/assets/images/annotation_lab/xml-tags/rate_pdf.png)
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docs/en/alab/training_configurations.md

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Generative AI Lab also includes additional filtering options for the training dataset based on the status of completions, either all submitted completions can be used for training or only the reviewed ones.
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### Model Versioning when Training Models
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Generative AI Lab 6.9 introduces model versioning for the following project types: Named Entity Recognition (NER), Classification, Assertion, Relation, and Visual NER. In the **TRAINING SETTINGS** section of the **Train** page, a toggle labeled **Enable Versioning** is now available. By default, model versioning is disabled. To enable it, toggle **Enable Versioning** to **on**.
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![690image](/assets/images/annotation_lab/6.9.0/5.png)
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When enabled, models are saved with versioned names following the format **projecttype_projectname_v1**, **projecttype_projectname_v2**, and so on. If model deployment is enabled after training is complete, the most recently trained model is automatically applied to the project configuration. If model deployment after training is not enabled, the project configuration remains unchanged. All versions of trained models are accessible on the Reuse Resource page, allowing users to browse and select specific model versions for reuse in other projects.
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![690image](/assets/images/annotation_lab/6.9.0/6.png)
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Model versioning is also supported for previously created projects. If versioning is disabled, subsequent training overwrites the most recent model without creating a new version. When re-enabled, versioning resumes from the latest version rather than starting over from v1. This feature simplifies model management by enabling version tracking and reusability, offering seamless integration for new and existing projects.
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Note: The **Enable Versioning** toggle is disabled during training.
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### Custom Training Script
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If users want to change the default Training script present within the Generative AI Lab, they can upload their own training pipeline. In the Train Page, project owners can upload the training scripts. At the moment we are supporting custom training script just for NER projects.

docs/en/alab/version.md

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| 5.9.2 - 5.9.3 | 5.3.1 | 5.3.0 | 5.3.0 | 1.0.0 | 1.0.0 | 3.4.0 |
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| 6.0.0 - 6.2.1 | 5.3.1 | 5.3.1 | 5.3.0 | 1.0.0 | 1.0.0 | 3.4.0 |
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| 6.3.0 - 6.6.2 | 5.3.2 | 5.3.2 | 5.3.2 | 1.0.0 | 1.0.0 | 3.4.0 |
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| 6.7.0 - latest | 5.4.0 | 5.4.0 | 5.4.0 | 1.0.0 | 1.0.0 | 3.4.0 |
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| 6.7.0 - 6.8.2 | 5.4.0 | 5.4.0 | 5.4.0 | 1.0.0 | 1.0.0 | 3.4.0 |
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| 6.9.0 - latest | 5.4.0 | 5.4.0 | 5.5.0 | 1.0.0 | 1.0.0 | 3.4.0 |

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