Document Processing For Your Custom Schema

Organizations generate and collect vast amounts of data, but struggle to access it. Employees often don’t have the skills or time to organize it effectively, which leads to poor data management, lost documents, and wasted time.

This can further cause costly delays, frustration, and decreased productivity.

Large language models help solve this problem. By implementing LLMs in their workflows, organizations can manage documents more reliably and quickly – and with almost no human intervention.

Large language models can handle document management tasks, categorizing and storing documents as well as extracting and classifying data into key-value pairs. They process massive amounts of documents quickly and accurately, freeing employees to focus on creative tasks.

LLMs help complete tasks that previously took hours or days almost instantaneously, resulting in faster project completion, better decision-making, and improved stakeholder communication. Adopting LLMs for document processing brings benefits on multiple fronts and organizations can make better decisions more quickly.

Large language models are generalists and not specialists, so they may not be suitable for complex tasks that require nearly 100% accuracy – such as document processing.

‍Custom document processing models yield better results.