From Prompt Engineering to Context Engineering: A New Era in AI Prompting

In the fast-evolving world of AI, the way we talk to large language models (LLMs) is changing. Not long ago, the focus was on prompt engineering, crafting the perfect prompt (question or instruction) to coax the best answer from AI. Now, an emerging concept called Context Engineering is taking center stage. This shift recognizes that giving an AI more and better context (background information, relevant data, roles, etc.) can be even more powerful than just cleverly wording a prompt.

With the remarkable evolution of AI, especially Large Language Models (LLMs), a new concept is emerging to replace the well-known "Prompt Engineering": Context Engineering. If you're new to Prompt Engineering, we recommend starting with our comprehensive Lecture Series: Prompting 101.

In simple terms, prompt engineering is about how to ask, whereas context engineering is about what information the AI has when answering. This comprehensive report will explain what context engineering is, how it differs from traditional prompt engineering in scope, technical approach, and use cases, and why many experts see it as the next evolution in AI interaction.

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