"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...

This FAQ talks about how attention mechanisms work at their core, how they are used in automatic speech recognition systems, ...

DeFi 1.0 introduced foundational primitives such as automated market makers and peer-to-pool lending. DeFi 2.0 sought to improve sustainability—through mechanisms like protocol-owned liquidity, ...

The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...