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.

Why a Tiny GPT Can Know Two Facts and Still Not Connect Them 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. Key Takeaways - •Latest on Why a Tiny GPT Can Know Two Facts and Still Not Connect Them — reported by Towards Data Science for the newsletter space. - •This story was reported by Towards Data Science , covering developments in the newsletter space. - •AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage. 📖 Continue reading the full article: Read Full Article on Towards Data Science → https://towardsdatascience.com/why-a-tiny-gpt-can-know-two-facts-and-still-not-connect-them/