Sequential Recommendation systems have crucial applications in industries like e-commerce and streaming services. These systems collect and analyze the user interaction data over time to predict their ...

which can be visualized as shown in Figure1.1 above. A's row i and B's column j are called vectors -one-dimensional grids of numbers. The inner-product computation can beexpressed as: which can be ...

Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning. However, most evaluations of language models rely on static vignettes and multiple-choice ...

This is the code to replicate the sequential instruction tuning experiments in the paper SIT: Fine-tuning Large Language Models with Sequential Instructions. [cite] cd LAVIS conda create -n seq_ins_vl ...

This repository contains code for training a language model using TensorFlow. The model is built using a sequential architecture with an embedding layer, LSTM layer, and a dense layer with softmax ...

The Language Processing Unit (LPU) represents a groundbreaking advancement in processor technology, specifically engineered to optimize tasks associated with natural language processing (NLP). Unlike ...

For more than 50 years, language scientists have assumed that sentence structure is fundamentally hierarchical, made up of small parts in turn made of smaller parts, like Russian nesting dolls. But a ...

Auditory Sequential Memory is a concept in early childhood development that refers to a child’s ability to recall a sequence of sounds or words. This skill is fundamental in learning language, where ...