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A Transformer layer made 6.54x faster with every optimization measured and every dead end recorded
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.
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.
Realistic or not?
Using a custom BERT model with a weighted loss function, our solution filters out irrelevant Google reviews, helping users quickly find the most relevant and trustworthy feedback
AI-powered compliance insights, built for a global regulatory world.
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.
