Recent content by jamiefor

  1. J

    Understanding Natural Language Processing: cost control and data quality

    For Natural Language Processing, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is cost control. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved...
  2. J

    How to build a better data quality workflow in Multi-Agent Systems

    This tutorial shows a simple repeatable way to work with Multi-Agent Systems while focusing on data quality. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with...