Summary
Most ReAct-style agents are silently wasting their retry budget on errors that can never succeed. In a 200-task benchmark, 90.8% of retries were spent on hallucinated tool calls — not model mistakes, but architectural flaws. This article shows why prompt tuning won’t fix it, and the three structural changes that eliminate wasted retries entirely. The post Your ReAct Agent Is Wasting 90% of Its Retries — Here’s How to Stop It appeared first on Towards Data Science .
Deepen your knowledge
ChatGPT and BI — How AI is transforming data analysis
Discover how ChatGPT and generative AI are changing business intelligence. From generating SQL and DAX to automating dat...
Knowledge BaseAI in Power BI — Copilot, Smart Narratives and more
Discover all AI features in Power BI: from Copilot and Smart Narratives to anomaly detection and Q&A. Complete overview ...
Knowledge BasePredictive Analytics — What can it do for your business?
Discover what predictive analytics is, how it works, and how to apply it in your business. From the 4 levels of analytic...