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Hazelnut is a conversational shopping agent, given a short customer message, the agent returns ranked catalog recommendations, surfacing the target product as early and as highly ranked as possible.
From conversation to the right product—precise and fast.
An LLM agent that runs the full ML research loop on a frozen benchmark: proposes an experiment, edits real model code, trains, and keeps it if a bootstrap test says the gain beats measurement noise.
A detector that survives real-world image damage and generalises across AI generators. One extra training source took cross-generator accuracy from 49% to 97%, at a cost of 0.5 points.
