Skip to main content
See every side of every news story
Published loading...Updated

I Traced a Single Prompt Through an LLM Engine to See How It Actually Works (Visual Breakdown)

Summary by DEV Community
We all use the API. We send a JSON payload to /v1/chat/completions, wait a few hundred milliseconds, and get a magical response back. But as an engineer, the "Black Box" nature of AI bothered me. I wanted to understand the actual pipeline—not just the high-level theory, but the mechanical journey of the data. So, I visualized the life of a single prompt: "Write a poem about a robot." I traced it through Tokenization, Embeddings, Attention, and t…
DisclaimerThis story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.Cross Cancel Icon

Bias Distribution

  • There is no tracked Bias information for the sources covering this story.

Factuality Info Icon

To view factuality data please Upgrade to Premium

Ownership

Info Icon

To view ownership data please Upgrade to Vantage

Online Tutorials broke the news in on Sunday, January 25, 2026.
Too Big Arrow Icon
Sources are mostly out of (0)
News
Feed Dots Icon
For You
Search Icon
Search
Blindspot LogoBlindspotLocal