4 Prompting Techniques For Solving Difficult and Multi-Step Problems With LLMs

When it comes to tackling reasoning-based problems, large language models (LLMs) have a terrible reputation. Their reasoning performance can, however, be greatly enhanced by applying straightforward methods that don’t demand fine-tuning or task-specific verifiers. Chain-of-thought (CoT) prompting is the name for this method. Specifically, it uses few-shot learning to enhance LLMs’ capacity for deductive thinking. […]

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