Tailored Models
The presence of the human validation element in the typical workflow means that a feedback loop can be created between the AI model predictions and the corrected human validations. With this feedback loop, a tailored model specific to the documents uploaded by users continues to learn and improve over time.
Tailored models work by using the base 'off the shelf' model as a foundation. The base model will be trained across a large and varied set of documents and thus will perform well 'out of the box' on most document formats of the same type. A tailored model then adds a layer that is specific to the document formats seen by that user account. After seeing a small number of documents of each document format type, the model can quickly learn and see higher accuracy, reducing the amount of time a human needs to validate an invoice.
The most common use case of a tailored model is within the Accounts Payable space. Often, a customer's supply chain will have a small number of suppliers that encompass a large proportion of their invoice volume. With a tailored model, an initial focus on these suppliers can greatly reduce the amount of processing time required. The 'long tail' of suppliers that are of lower volume will continue to improve in accuracy as they continue to get validated and fed back into the model for training.
To discuss getting a tailored model set up for your account, contact us to learn more.
Updated almost 2 years ago