Meta researchers distill System 2 thinking into LLMs, improving performance on complex reasoning

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VentureBeat 4d ago

Meta researchers distill System 2 thinking into LLMs, improving performance on complex reasoning - VentureBeat

Quick Summary:

Instead, the researchers found a way to distill the knowledge gained from the model’s own System 2 reasoning capabilities into its fast-paced and compute-efficient System 1 generation.

In a new paper, researchers at Meta FAIR present “System 2 distillation,” a technique that teaches LLMs complex tasks without requiring intermediate steps.

For example, “Chain of Thought” is a prompting technique that instructs the LLM to explain its reasoning process step by step, which often leads to more accurate results for logical reasoning tasks.