Learn With Jay on MSN

Transformer encoder architecture explained simply

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 ...
EurekAlert!

CornPheno: A game-changer in corn breeding with smartphone-based phenotyping

Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...
Learn With Jay on MSN

BERT demystified: Explained simply for beginners

In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no ...
GitHub

Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation

Official implementation of "Zero-Training Context Extension for Transformer Encoders via Nonlinear Absolute Positional Embeddings Interpolation". Paper preprint is coming soon. This implementation ...
GitHub

Polymathic's Large Omnimodal Model for Astronomy

AION-1 is a cutting-edge large omnimodal model specifically designed for astronomical surveys. It seamlessly integrates multiple data modalities, and enables simple adaptation to a wide range of ...
IEEE

ReTeNet: A Residual Encoder and Transformer Encoders Network for Stress Monitoring From Wearable Device

Abstract: Mental stress adversely impacts overall well-being, and chronic stress poses serious risks to both physical and mental health, necessitating the development of wearable-based stress ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...