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Context engineering is key to AI model performance

Prompt engineering focuses on crafting the right input for an AI model, asking "what should I say?" In contrast, context engineering prioritizes providing the model with necessary background information, addressing "what should the model know?" This distinction highlights the critical importance of building comprehensive context for effective AI interaction. AI

影响 Clarifies the distinct roles of prompt and context engineering, emphasizing the importance of providing AI models with sufficient background information for optimal performance.

排序理由 The cluster discusses a conceptual distinction between prompt engineering and context engineering for AI models, presented as an opinion piece.

在 Mastodon — fosstodon.org 阅读 →

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Context engineering is key to AI model performance

报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    关于提示词与上下文的区别,有一个有用的思考方式:提示词工程问道:我应该说什么?上下文工程问道:模型应该

    There's a useful way to think about the prompt vs context distinction: Prompt engineering asks: what should I say? Context engineering asks: what should the model know? The scope, mindset and goal are completely different. Once you see it this way, the importance of building good…