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The Feynman Technique Prompt: How to Make AI Explain Anything in 4 Layers of Depth

dev.to/llm · 2026년 6월 25일

You asked ChatGPT to explain self-attention. It gave you a paragraph that sounded right. You nodded. Two hours later, you couldn't explain it back to yourself. That's not a knowledge gap. That's a pro

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Multimodal AI: One Model That Sees, Reads, and Hears

dev.to/llm · 2026년 6월 25일

The models you use now don't just read — they see, hear, and read images too. GPT-4o, Gemini, Claude with vision: all multimodal. The trick that makes it work is the same embeddings idea, stretched ac

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Structured Output: Make an LLM Return Real JSON (Not Prose)

dev.to/llm · 2026년 6월 25일

"Return the answer as JSON" — and then the model wraps it in prose, adds a json fence, or sends a string where you wanted a number, and your `JSON.parse` throws. Structured output fixes this properl

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You Can't Unit-Test an AI Agent. You Can Regression-Gate It.

dev.to/llm · 2026년 6월 25일

I run 32 published scrapers. 2,190 production runs between them. Every one of those is deterministic code, and I test it the way you test deterministic code: feed it a fixture, assert parsed == expect

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