> For the complete documentation index, see [llms.txt](https://docs.docbits.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.docbits.com/administration-and-setup/settings/global-settings/document-types/model-training/purpose-and-use-model-training.md). # Purpose and Use: Model Training Regular model training is critical to ensure that a document processing system continues to work effectively and accurately as document formats and content change. **Here are some key reasons for regular model training:** **Adaptation to new formats:** * Documents are often created in different formats, be it PDF, Word, Excel, or others. * New versions of these formats may have additional features or changes in formatting that the processing system may not recognize unless it is updated accordingly. * By regularly training the model, the system can adapt to these new formats to ensure smooth processing. **Adaptation to changing content:** * The content of documents can change over time, be it due to updates to business processes, changes in policies, or new industry standards. * Regular training allows the processing system to adapt to these changes and continue to deliver accurate results. **Optimizing accuracy:** * By training the model with new data, algorithms and models can be continuously improved to increase the accuracy of document processing. * This is especially important in areas where precision and reliability are critical, such as processing financial documents or medical records. **Handling exceptions:** * Regular model training allows the system to better identify and handle exceptions and boundary conditions. * This can help reduce errors and improve overall system performance. **Ensuring compliance:** * In industries with strict compliance requirements, it is important that the document processing system is always up to date to meet legal requirements. * Regular training and updating of the model can help ensure the system complies with current standards. Overall, regular model training is an essential component to the effectiveness and reliability of a document processing system. It allows the system to continuously adapt to changing requirements and deliver accurate results, which in turn improves efficiency and productivity. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.docbits.com/administration-and-setup/settings/global-settings/document-types/model-training/purpose-and-use-model-training.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.