Learn About Prompt Engineering

Master the art of communicating with AI — crafting effective prompts, chain-of-thought reasoning, few-shot learning, and the emerging discipline of steering language models toward reliable outputs.

Chain-of-thought prompting, introduced by Jason Wei et al. at Google Brain in a January 2022 paper, showed that simply adding "Let's think step by step" to a prompt could improve GPT-3's accuracy on math word problems from 18% to 79%. Few-shot prompting, where examples are included in the prompt to guide model behavior, was a key finding of GPT-3's 2020 paper, demonstrating that large models could perform new tasks without any fine-tuning. Retrieval-augmented generation (RAG), developed by Facebook AI Research in 2020, combines language models with external knowledge bases to reduce hallucination and provide verifiable, up-to-date information, becoming a standard architecture for enterprise AI applications.

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