Long-Horizon Agents: Why Multi-Turn Reasoning Breaks and the Practical Training Tricks That Fix It
Almost every modern language model looks impressive on a two-step demo. You ask it to check a database or summarize a document, it calls the right tool, formats the answer, and looks like an autonomous engineer. The illusion falls apart the moment you ask that same model to complete a 30- or 50-ste…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-03 14:52 · DEV Community — Machine Learning
Long-Horizon Agents: Why Multi-Turn Reasoning Breaks and the Practical Training Tricks That Fix It