prompting

"最新的AI非常善于解读字里行间。"

"只有当您后续的提示是其响应的重复或释义版本时，它才会告诉您您是完全正确的。"

"我构建的每个提示都遵循相同的框架：- 你是谁？（角色/上下文）- 你需要什么？（具体任务）- 约束条件（范围内的内容/范围外的内容）- 输出格式（确切的交付方式）"

"通过在系统提示或用户提示的末尾包含所需JSON格式的具体示例（One-shot），人工智能会认识到它应该严格遵守此格式。"

"SRP是这个想法在LLM提示中的类比应用（没有严格的对应关系）。"

"结果还突出了推理模型中显著的性能反转。"

"SRP 并非直接产生“更好答案”的方法。 核心在于“略差”和“略好”之间的界限。"

"如果您在提示方面需要一些帮助，Prompting Systems在这里为您服务。"

"本文探讨了有效提示工程的5个基本原则。"

"This 'instant SubAgent' opens up exciting possibilities for more dynamic and responsive AI systems."

"The article explores the official best practices document from Anthropic."

"The article hints at the importance of going beyond basic skills and acknowledging that there are underlying mental models which govern how we use AI tools."

"So my approach changed. I decided to build my skill using the same pattern: detailing my design principles but framing them in an evocative way to force Claude to deeply explore the task domain before any visual design is considered."

"It simulates critical thinking, not just the production of texts."

"Prompting is a skill, not an afterthought. Learn to ask clearer questions, define expectations, and guide the response — and suddenly, AI becomes far more powerful."

"Further exploration is needed!"

"The article is a reconfigured version of the author's Note article, focusing on the technical aspects."

"The author realized the problem wasn't with the AI, but with the assumption that writing rules would solve the problem."

"The article references the use of ChatGPT Plus, suggesting a focus on advanced features and user experiences."

"The article mentions an attempt to automate data shaping and auto-saving, implying a practical application of AI in data tasks."

"The author notes that evaluations of tools and LLMs often differ significantly between users, emphasizing the influence of individual prompting styles, technical expertise, and project scope."

""Claude is genuinely impressive, but the gap between 'looks right' and 'actually right' is bigger than I expected.""

"The actual problem is that when you don't give ChatGPT enough constraints, it gravitates toward the statistical center of its training data."

""Genuine Stupidity indeed.""

"After brainstorming with Claude I ended with this animation"

"How LLMs think step by step & Why AI reasoning fails"

"Be innovative, forward-thinking, and think outside the box. Act as a collaborative thinking partner, not a generic digital assistant."

"Compact, interpretable rules are distilled from failure traces and injected into the prompt during inference to improve task performance."

""A 50-message thread uses 5x more processing power than five 10-message chats because Claude re-reads the entire history every single time.""

"The research is published on ArXiv."