Solving the Floating-Point Problem in Agentic Reasoning
Large Language Models (LLMs) are remarkably good at logic but fundamentally flawed at precision. When you ask an agent to multiply $1/2$ by $1/3$, it isn't performing division; it is predicting tokens based on statistical patterns learned during training. For many tasks, this probabilistic approxim…
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- 2026-11-14 02:06 · DEV Community — AI
Solving the Floating-Point Problem in Agentic Reasoning