Lack of Training Data

By Edward Barnard

AI, by design, compares your input to what already exists within its training data. However, when very little precedent exists (in the training data) for comparison, that absence triggers the error-recovery mode we have been observing. This month’s objective is simple and direct – shift the AI’s thinking mode into the correct channel. by Edward Barnard

This article was originally published in the June 2026 issue of PHP Architect magazine. To read the complete article please subscribe or purchase the complete issue.