LLMs excel at inductive reasoning but struggle with deductive tasks, new research shows

VentureBeat August 15, 2024
Ben Dickson

Large language models (LLMs) have shown impressive performance on various reasoning and problem-solving tasks. However, there are questions about how these reasoning abilities work and their limitations.

In a new study, researchers at the University of California, Los Angeles, and Amazon have done a comprehensive study of the capabilities of LLMs at deductive and inductive reasoning. Their findings show that while LLMs can be very good at finding the rules of a task from solved examples, they are limited in following specific instructions. The findings can have important implications for how we use LLMs in applications that require reasoning.

Inductive vs. deductive reasoning

Reasoning can be broadly categorized into two distinct types: deductive and inductive. Deductive reasoning, often...

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