gogoout
Joined 2 years ago
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Jul 16
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Comment · 1 month ago
You don’t need classifier to filter noise. The noise is the same patterns repeated many times. I’ve got a tool does that to break down big diff and then feed to llm for grouping.
https://github.com/thepartly/differential
Comment · 1 month ago
Yep, this is the architecture design from day 1. The differential-engine crate is what you looking for, the packed TUI is just a frontend render. Check here: https://github.com/thepartly/differential/tree/main/crates/e...
Comment · 1 month ago
Is this the reverse of LLM?
Ie, "what's the capital of France?" LLM picks from "Paris" 99.9% / "London" 0.001%, LLM then with some randomness output you "Paris".
For Jev, you ask it to give probability of a set of answers "what's the capital of France?" choose from answers (Paris/London), it then gives you (99.9%/0.001%)