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We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Flexible position encoding helps LLMs follow complex instructions and shifting states by Lauren Hinkel, Massachusetts Institute of Technology edited by Lisa Lock, reviewed by Robert Egan Editors' ...

A novel viral tool (FLEN) is designed, and used to monitor changes in the intrinsic and synaptic properties of engram cells quickly (3–6 hours) following encoding of a memory.

The human brain vastly outperforms artificial intelligence (AI) when it comes to energy efficiency. Large language models (LLMs) require enormous amounts of energy, so understanding how they “think" ...

Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...

Abstract: Recent advances in personality recognition have improved trait inference from multimodal data, yet many existing methods rely on short-term video segments or static images, limiting the ...

ABSTRACT: In recent years, with the frequent occurrence of global forest fires, fire prevention and control technology has become crucial. The advancement of artificial intelligence technology has ...

Abstract: A growing amount of available data and computational power makes training neural networks over a network of devices, and distribution optimization in general, more realizable. As a ...