deep learning

While working on my Knowledge Distillation problem for intent classification, I faced a puzzling roadblock. My setup involved a teacher model, which is RoBERTa-large (finetuned on my intent classification), and a student model, which...

games growing up was definitely Minecraft. To this present day, I still remember meeting up with a few friends after school and determining what recent, odd red-stone contraption we might construct next. That’s...

For patients with inflammatory bowel disease, antibiotics is usually a double-edged sword....

to preparing videos for machine learning/deep learning. As a consequence of the scale and computational cost of video data, it's vital that it's processed in as efficient a way possible to your use...

and Vision Model? Computer Vision is a subdomain in artificial intelligence with a big selection of applications specializing in image processing and understanding. Traditionally addressed through Convolutional Neural Networks (CNNs), this field has been...

systems, understanding user intent is key especially in the client service domain where I operate. Yet across enterprise teams, intent recognition often happens in silos, each team constructing bespoke pipelines for various products,...

Introduction the the state-of-the-art architecture for NLP and never only. Modern models like ChatGPT, Llama, and Gemma are based on this architecture introduced in 2017 within the Attention Is All You Need paper from...

Yearly, global health experts are faced with a high-stakes decision: Which influenza...