「あなたはプロの編集者です」を信じるな?AIのプロンプトで一般論しか返ってこない理由
Are you frustrated because, even when you specify "You are a professional in [specific field]," you only receive bland, generic responses? The truth is, simply giving a generative AI a title will cause its output to converge to the commonplace average found on the internet. To instantly transform AI output to a practical level, it's crucial to define the "boundaries" of thought, rather than just a title or "name." This video clearly explains a structured approach that dramatically changes prompt output by covering the three key elements of "position, purpose, and evaluation criteria," based on the mathematical properties of LLM (Limited Language Modeling). #GenerativeAI #Prompt #ChatGPT #Claude #Gemini #BusinessSkills 00:00 The Trap of Specifying Titles: Why "I'm a professional editor" is a safe answer 00:52 The Essence of LLM: The Autoregressive Engine and the Mechanism of "Probability Diffusion" 01:47 The Truth About Role Assignment: Not Personification, but "Narrowing Down the Latent Space" 02:14 Typical Failure: Overuse of Vague Adjectives (Highly Skilled, Experienced) and Dispersion of Attentional Resources 04:24 New Common Sense: Rewriting Role Setting as "The Act of Strictly Defining the Boundaries of Thought" 04:52 Three Key Elements for Determining Professional Quality ①: "Position" (Resolution and Fixation of Assumptions) 05:42 Three Key Elements for Determining Professional Quality ②: "Purpose" (Single Deliverable and Action Verb Formation) 06:11 Three Key Elements for Determining Professional Quality ③: "Evaluation Criteria" (Quantitative and Qualitative Rules and List of Affirmative Sentences) 06:40 The effects of the three major elements: The "probabilistic firewall" that emerges internally 09:40 Steps to implement in practice (Extracting and varying positions, objectives, and evaluation criteria) 12:14 Prompt comparison: Structuring using XML tags (Before/After) and differences in output results 14:43 The limits of being too extreme: Narrowing of perspective and the risk of "prompt-induced hallucination" 15:36 Ways to avoid hallucination (rules for accepting alternatives) and the physical laws of placement for different models (Gemini, etc.) 16:30 Basic syntax templates you can use tomorrow and application examples for different business domains

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