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Prompt engineering involves creating specific queries for language models, while context engineering entails structuring comprehensive information for optimal model performance. Context engineering is crucial for complex AI applications, addressing issues like memory and relevance, leading to enhanced accuracy and efficiency. It is essential for developing effective AI systems today.