Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Abstract: With the evolution of self-supervised learning, the pre-training paradigm has emerged as a predominant solution within the deep learning landscape. Model providers furnish pre-trained ...

There is an ever-increasing demand for accuracy in many manufacturing industries. Adding to this general need for higher accuracy is the fact that industry sectors such as semiconductors and ...

Charnita is a wife, pet mom, tech enthusiast, and part-time freelance writer with over 14 years of experience. She's done countless app roundups, product reviews, and tutorials! In her free time, she ...

Try to compile using strict compiler settings. I embedded it in a c++ project and adapted the example, removing the "extern C". This will not allow the assignment due ...

In attempting to figure out why some pipelines have high/increasing latency and in an attempt to produce a low latency streaming pipeline I noticed some strange behaviour from the encoder nodes.

Spiking Neural Networks (SNNs), known for their potential to enable low energy consumption and computational cost, can bring significant advantages to the realm of embedded machine learning for edge ...