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Why a Tiny GPT Can Know Two Facts and Still Not Connect Them

A Towards Data Science experiment found that a tiny GPT model memorized every fact it was trained on but failed every question requiring it to combine two of those facts. The author tested a one-line fix from a recent research paper on the model, and the fix only partially resolved the failure. The result points to a gap between factual recall and multi-hop reasoning in small language models.

read1 min views1 publishedNov 5, 2026
Why a Tiny GPT Can Know Two Facts and Still Not Connect Them
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A tiny GPT memorized every fact I gave it, then couldn’t answer a single question that needed two of them. I tested the one-line fix from a recent paper, and it only half worked. The post Why a Tiny GPT Can Know Two Facts and Still Not Connect Them appeared first on Towards Data Science.

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ainexusdaily.vercel.app — original article Trimming Context Can Make Your Agent More Expensive AI + PLC Programming: The Missing Layer Is Project Context, Not Model Quality Your AI Agent Isn't Done Until the Database Says So
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