In the modern digital era, Shahzeb Akhtar, an AI researcher and thought leader, presents a deep dive into the groundbreaking ...

Neural networks that apply weights to variables in AI models are an integral part of this modern-day technology. Research is ongoing, and experts still debate whether bigger is better in terms of ...

Statistical language models are an essential component in modern approaches to these tasks. In the first half of this course, we will explore the evolution of deep neural network language models, ...

The hype over Large Language Models (LLMs) has reached a fever ... deep learning can only be partially compensated by layering thousands or millions of neural networks. These smarter NLP's use AI ...

Natural language processing (NLP) ... (GPT-3), developed by OpenAI, use a neural network machine learning model that can not only code but also write articles and answer questions, ...

The researchers chose a kind of neural network architecture known as a generative adversarial network (GAN), originally invented in 2014 to generate images. A GAN is composed of two neural networks — ...

While transformer networks have revolutionized NLP and AI, challenges remain. The computational complexity of self-attention makes training large-scale transformer models resource-intensive.

Language models typically use modern deep learning methods called neural networks, but Eshraghian is powering a language model with an alternative algorithm called a spiking neural network (SNN). He ...