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We explain how the field of Large Language Model (LLM) application development is evolving beyond simple "prompt engineering" to a more comprehensive approach called "context engineering." This shift emphasizes not just crafting user instructions, but systematically designing and managing the entire information payload (the context window) an LLM processes, including dynamic elements like Retrieval-Augmented Generation (RAG)

Context Engineering: Beyond Simple Prompting to LLM Architecture

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