ArshadmohdTransformer ArchitectureThe Transformer architecture, introduced in the “Attention Is All You Need” paper, consists of several key components that work together to…Jul 19Jul 19
ArshadmohdAttention MechanismWhen working with the Encoder-Decoder model, we encountered several limitations:Jul 18Jul 18
ArshadmohdTitle: The Seeds of Deep Learning — The McCulloch-Pitts Neuron ModelIn 1943, two brilliant minds — neurophysiologist Warren McCulloch and mathematician Walter Pitts — published a ground-breaking paper that…May 8May 8
ArshadmohdThe Deep Roots: Tracing the Critical Milestones and Pioneers of Deep Learning (1940s — 2012)Deep Learning (DL)May 8May 8
ArshadmohdUnveiling the Depths: A Comprehensive Exploration of AI, ML, and DLAI vs ML vs DL: Understanding the DifferencesMay 8May 8
ArshadmohdLanguage Modeling: A Comprehensive GuideIn the realm of natural language processing (NLP), language modeling plays a crucial role in enabling computers to understand and generate…Apr 24Apr 24
ArshadmohdUnveiling GenAI: Empowering Innovation with Transformers and GPT ModelsExploring the Evolution of Natural Language Processing: From Seq2Seq to TransformersApr 24Apr 24
ArshadmohdLinear Regression Uncovered: A Thorough Exploration from Foundations to ApplicationsLinear regression is one of the fundamental concepts in machine learning and statistics. It is a supervised machine-learning technique. At…Apr 9Apr 9
ArshadmohdDemystifying the Naive Bayes Algorithm: A Guided Tour Through Probabilistic EleganceThe Naive Bayes algorithm is a powerful and widely used classification algorithm in machine learning. Despite its simplicity, it is…Apr 9Apr 9
ArshadmohdUnraveling the K-Nearest Neighbors Algorithm: A Journey Through Classification and RegressionUnderstanding K-Nearest Neighbors (KNN)Apr 8Apr 8