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Positional encoding in transformers explained clearly

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full ...
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 ...
GitHub

A graphical user interface for WhisperX that provides easy-to-use audio and video transcription capabilities.

tkinter (included with Python) whisperx==3.3.2 torch==2.6.0+cu121 torchaudio The current setup represents a working configuration but may need adjustments based on your specific environment. If you ...
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 ...
Tech Xplore

Flexible position encoding helps LLMs follow complex instructions and shifting states

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
IEEE

Asymmetric Strip Transformer With Position Vectors Embedding for Lane Detection

Abstract: Lane detection is an important aspect of autonomous driving environment perception. Traditionally, lane detection has been regarded as a semantic segmentation task, and the geometric ...
IEEE

An Image Semantic Communication System Based on GAN and Relative Position-Encoding

Abstract: In image semantic communication, the complex wireless channel environment leads to the loss of image details and performance degradation during transmission. To address this issue, we ...