https://sinimite.work/en/tags/promptengineering/Recent content in PromptEngineering on SiBloghttps://sinimite.work/images/og-default.svg?v=20260525-210321https://sinimite.work/images/og-default.svg?v=20260525-210321Hugo -- 0.156.0en-USSun, 24 May 2026 16:05:10 +0900https://sinimite.work/en/posts/points-of-the-podcast-language-agents-from-reasoning-to-acting/Sun, 24 May 2026 16:05:10 +0900https://sinimite.work/en/posts/points-of-the-podcast-language-agents-from-reasoning-to-acting/Reflections on the podcast Language Agents: From Reasoning to Acting. Starting from ReAct, Reflexion, Tree of Thoughts, memory, benchmarks, and ACI, the article explains why an LLM Agent is an engineered system composed of a model, tools, memory, environment, evaluation, and UX.https://sinimite.work/en/posts/llm-from-hidden-state-to-token-output/Sat, 02 May 2026 00:00:00 +0000https://sinimite.work/en/posts/llm-from-hidden-state-to-token-output/Why does Chain of Thought work? Why are longer prompts not always better? Why do models hallucinate? These apparently unrelated engineering phenomena are different expressions of the same core mechanism. This article uses one master key to open five doors in LLM engineering.https://sinimite.work/en/posts/entropy-in-llm/Fri, 27 Mar 2026 00:00:00 +0000https://sinimite.work/en/posts/entropy-in-llm/Entropy runs through the entire LLM lifecycle: training uses cross-entropy as the loss, inference uses temperature to control output entropy, evaluation uses perplexity, and products can use entropy signals to detect hallucinations. This article maps the complete picture from an AI engineer's perspective.https://sinimite.work/en/posts/prompt-engineering-best-practices-guide/Wed, 11 Mar 2026 11:00:00 +0900https://sinimite.work/en/posts/prompt-engineering-best-practices-guide/A systematic guide to production-grade Prompt Engineering and Context Engineering practices for 2025–2026, covering Claude, GPT, long context, Prompt Chaining, Tool Use, and evaluation workflows.https://sinimite.work/en/posts/llm-chain-of-thought-cot/Wed, 04 Mar 2026 21:51:00 +0900https://sinimite.work/en/posts/llm-chain-of-thought-cot/Understand what LLM Chain-of-Thought (CoT) is and how prompt engineering can elicit Chain-of-Thought (CoT) from an LLM.https://sinimite.work/en/posts/prompt-engineering-from-concept-to-implementation/Tue, 03 Mar 2026 19:50:00 +0900https://sinimite.work/en/posts/prompt-engineering-from-concept-to-implementation/Prompt engineering? It may not be as simple as you think.https://sinimite.work/en/posts/understanding-prompt-injection/Tue, 03 Mar 2026 19:50:00 +0900https://sinimite.work/en/posts/understanding-prompt-injection/Understand LLM prompt injection and several fundamental defensive measures.