AI article
Someone trained a decision model for $104. The price isn't the interesting part — it's that it refuses to write text.
Community description: A wave of 'decision models' — Jev, Laya, and a 144M-param model reportedly trained for $104 — do one thing LLMs are bad at: return a calibrated probability instead of a paragraph. No generation means nothing to parse and nothing to hallucinate. Here's why that's the right tool for half the 'LLM calls' in your pipeline.
Dev.to | Sep 28, 2026 | Rudratosh Shastri
Automated excerpt
Quick question about your pipeline: how many of your "LLM calls" actually need the model to write anything? They take a structured question and return a calibrated probability. How many of your current LLM calls are secretly just classification you're parsing back out of prose?
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