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Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

Your labeled dataset looks perfect inside the annotation tool. Bounding boxes are clean, labels are consistent, and your team spent three weeks getting everything right. Then you hit export, drop the ...

Before you can even think about building an algorithm to read an X-ray or interpret a blood smear, the machine has to know what’s what in an image. All of the promise of AI in healthcare — an area ...

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Is it possible for an AI to be trained just on data generated by another AI? It might sound like a harebrained idea. But it’s one that’s been around for quite some time — and as new, real data is ...

The world’s coastlines are spatially highly variable, coupled-human-natural systems that comprise a nested hierarchy of component landforms, ecosystems, and human interventions, each interacting over ...

Securing AI pipelines against data poisoning: a practical guide for technical teams Data poisoning is one of the more practical risks in AI security because it targets the pipeline rather than the ...