Automatic Training

  1. What is Automatic Training in Docsumo?
    Automatic Training is a feature in Docsumo that allows AI models to learn and improve by automatically processing and analyzing new documents without manual intervention. Learn more here.

  2. How does Automatic Training work?
    Automatic Training works by feeding the model with new data as documents are processed, allowing it to adjust its parameters and improve its extraction accuracy. Detailed workings are explained here.

  3. What types of documents can be used for Automatic Training?
    Various document types, including invoices, receipts, and purchase orders, can be used for Automatic Training to enhance the model’s performance. Supported document types are listed here.

  4. How do I enable Automatic Training in Docsumo?
    Automatic Training can be enabled by configuring the training settings in your model’s options. Step-by-step instructions are available here.

  5. Is there a limit to the amount of data that can be used for Automatic Training?
    The amount of data that can be used depends on your subscription plan and available storage. Check your plan details here.

  6. Can I monitor the progress of Automatic Training?
    Yes, progress can be monitored through the training dashboard, which provides insights into the model's learning curve and performance metrics. Monitoring details are provided here.

  7. What are the benefits of using Automatic Training?
    Benefits include continuous model improvement, reduced manual effort, and faster adaptation to new document types. Learn more about the benefits here.

  8. Can I adjust the parameters of Automatic Training?
    Yes, you can fine-tune the training parameters such as learning rate, batch size, and iteration frequency to optimize model performance. Adjustment tips are available here.

  9. What should I do if Automatic Training is not improving model accuracy?
    If accuracy is not improving, consider providing more diverse samples, adjusting training parameters, or switching to manual training for finer control. Troubleshooting tips are provided here.

  10. How do I stop or pause Automatic Training?
    Automatic Training can be paused or stopped through the training settings in your model’s options. Instructions for pausing or stopping are available here.

  11. Can I combine Automatic Training with Manual Training?
    Yes, combining both methods allows for the flexibility of automatic improvements with the precision of manual adjustments. Learn how to combine them here.

  12. What data is used by Automatic Training to improve the model?
    The model uses newly processed documents and their associated metadata to refine its understanding and improve accuracy. Data usage is explained here.

  13. How frequently does Automatic Training update the model?
    Updates occur continuously as new data is processed, but the frequency can be adjusted based on your preferences and workload. Frequency settings are detailed here.

  14. Is there a risk of overfitting with Automatic Training?
    While overfitting is a risk, it can be mitigated by ensuring a diverse range of training samples and adjusting parameters like learning rate. Overfitting prevention tips are provided here.

  15. How do I review the changes made by Automatic Training?
    Changes can be reviewed in the training logs, which document adjustments made during each training cycle. Review instructions are available here.

  16. Can Automatic Training handle multiple document types simultaneously?
    Yes, the system can train models on multiple document types simultaneously, allowing for broad applicability. Learn more about handling multiple types here.

  17. How do I ensure the quality of the model trained automatically?
    Quality can be ensured by regularly reviewing training results, adjusting parameters, and providing feedback on processed documents. Quality assurance tips are outlined here.

  18. What happens if Automatic Training fails?
    If training fails, you can review error logs, adjust parameters, or switch to manual training to resolve the issue. Troubleshooting steps are available here.

  19. How do I provide feedback on the model's performance after Automatic Training?
    Feedback can be provided through the feedback loop in the training dashboard, helping refine the model further. Feedback instructions are available here.

  20. Can I revert changes made by Automatic Training?
    Yes, changes can be reverted by restoring a previous version of the model from the version history. Reversion steps are detailed here.

  21. What is the difference between Automatic and Manual Training?
    Automatic Training is hands-free and continuous, while Manual Training allows for detailed control over the training process. A detailed comparison is provided here.

  22. How do I ensure that Automatic Training aligns with my business needs?
    You can align training with your needs by setting appropriate goals, selecting relevant documents, and adjusting parameters accordingly. Alignment tips are provided here.

  23. What happens if there is not enough data for Automatic Training?
    If data is insufficient, the model may not improve as expected. In such cases, supplementing with Manual Training or additional data is recommended. Solutions are provided here.

  24. Can I use Automatic Training for specialized documents?
    Yes, Automatic Training can be configured to handle specialized documents by providing relevant samples and adjusting the training parameters. Learn how to configure it here.

  25. How does Automatic Training handle new document formats?
    Automatic Training can adapt to new formats by processing them as they are added, refining the model to handle these variations. Adaptation tips are available here.