There are many parallels between human intelligence and AI, and there are some interesting parallels in how they’re created ...

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...

A look at how a manufacturer developed specialized training for line leaders and implemented it across multiple plants.

CBF President, Samir Xaud, signed an ordinance creating a working group to propose improvements in Brazil’s youth football ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their final answers are correct, and it evaluates the quality of training data so ...

As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...

For years, investors and founders have told me that AI which talks and listens the way humans do is on the cusp of a breakout moment. We’re still not there.Audio models are still lagging behind their ...

"Safety alignment is only as robust as its weakest failure mode," Microsoft said in a blog accompanying the research. "Despite extensive work on safety post-training, it has been shown that models can ...

It is important to understand that today’s common alignment practice—developing capabilities first and aligning values second—is not the result of a long-term research program but simply reflects the ...

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