Benefits
Traditional document indexing and classification methods in DMS systems like OnBase may encounter limitations, particularly when dealing with unstructured data or complex document types. These methods often rely on predefined templates or specific keywords, which can be inflexible and may not effectively handle the nuances of natural language. This can result in challenges such as misclassification or the need for extensive manual intervention.
Integrating Large Language models (LLMS) can address these challenges by enhancing the accuracy and efficiency of document classification and indexing. LLM models, like OpenAI’s GPT-4, are trained on vast amounts of text data and can understand the context and semantics of language, allowing them to analyze document content and categorize it based on meaning and context. This capability enables LLMs to handle unstructured data more effectively than traditional rule-based systems.
