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A build-time loop that writes, proves and selects GPU kernels per shape and per card, 116 of 116 official-shape runs pass on nine GPUs, at 3.1x to 7.1x.
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.
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.
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.
Online reviews are plagued by spam and irrelevance. Our BERT pipeline flags poor reviews, which increases user trust, business fairness, and platform credibility. It's needed now more than ever.
