In conversations with GPT-4 Preface: Embarking on a quest to deepen my understanding of the intricate workings of artificial intelligence, I found myself drawn to a fascinating article about the non-deterministic behavior in GPT-4. However, to fully grasp the concepts presented, I realized a more foundational understanding of AI and its mechanisms was necessary. This […]
Written by This blog post provides a comprehensive guide to the Transformer neural network architecture, which was introduced in the 2017 paper “Attention is All You Need”. The Transformer model, initially designed for neural machine translation, has proven to be a versatile tool for various applications beyond Natural Language Processing (NLP). The post delves into the key […]