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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.
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.
From conversation to the right product—precise and fast.
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.
An autonomous ML research agent for recommender systems. It forms hypotheses, patches its own code, executes iterative optimization loops, and verifies results via bootstrap on sealed splits.
Watch. Earn. Boost. Watch ads and answer surveys to earn Sparks, then boost your favourite creators, with no cash needed.
AI-powered compliance insights, built for a global regulatory world.
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