My Conversations with AI: Prompt Engineering Edition: 01｜冬夏 冷
Me: “Well, while I’m sure some people know, there must be some very optimistic estimates being made. I interact daily with AIs from GPT, Anthropic, Gemini, Microsoft, SoftBank, and others,…
Read More »
The ‘Prompt’ in the AI Era. It Used to Be the Windows Command Prompt.｜株式会社InnateSunnySea_公式
When you heard the word ‘prompt’ in the past, what was the first thing that came to mind? It was the Windows ‘Command Prompt’. At the very least, before AI…
Read More »
Prompt-engineered embeddings fail to beat strong tabular models in demand
Demand forecasting sits at the heart of inventory management, because every unit of forecast error ripples directly into replenishment timing, safety stock, service levels and operating cost. A new benchmark…
Read More »
Prompt Engineering Is Dead. Context Engineering Is What Actually Matters Now.
In 2023, the trick was knowing how to word a prompt. In 2026, every serious AI model follows instructions well enough that phrasing stopped being the bottleneck. The bottleneck is…
Read More »
Having AI Organize Vague Requests
“Write an announcement,” “Make this document look good”—short requests are easy, but because they don’t convey who the audience is or what the purpose is, the answers can often miss…
Read More »
Thinking about Prompt, Context, and Harness Engineering from the Perspective of Development Work｜カナメ｜エンジニア研修ノート
When researching “how to give good instructions to AI,” terms like prompt, context, and harness keep appearing one after another. For those who are just starting to learn development using…
Read More »