The Definitive Guide to Improving Your Unstructured Data
How-to’s, Tips, and Tactics for Creating Better LLM Outputs
This white paper offers an in-depth practical guide to unstructured data and best practices to organize that data for LLMs to prevent inaccuracies and security risks.
In this white paper, you will find:
- The role of Knowledge Management in organizing data for LLMs to prevent inaccuracies and security risks.
- LLM applications in enhancing search experiences, pharmaceutical research, law firms, and customer support, facilitating improved productivity and data accessibility.
- The significance of quality, ethics in datasets, contextual understanding, and human-LLM collaboration for effective and responsible AI outcomes.
Your peers are already using GenAI to excel. Don’t get left behind!
Instead of agents getting stuck, they now get the exact phrase and context of answers that were previously buried deep inside of large documents.
Our customer satisfaction scores have improved for both voice and written inquiries, because our associates now have the resources they need right in front of them.
Our customers are getting the correct answer on the first call. This is clearly correlated to the documentation being — and staying — in better quality.
