Unpacking LLMs: A Deep Dive into Large Language Models with Everyday Analogies
In recent years, terms like ChatGPT, Bard, and ‘AI’ have moved from sci-fi novels to our everyday conversations. At the heart of this revolution are Large Language Models (LLMs) – powerful artificial intelligence systems that seem to understand and generate human language with uncanny ability. But what exactly are they, and how do they work […]
Unlocking Deep Learning Power: A Technical Review of Residual Networks on Pretrained CNNs
In the rapidly evolving landscape of deep learning, achieving cutting-edge performance often hinges on two critical strategies: building incredibly deep neural networks and leveraging the vast knowledge embedded in models trained on colossal datasets. This article delves into a powerful synergy: the application of Residual Networks (ResNets) within the context of pretrained Convolutional Neural Networks […]
Unraveling the Buzzwords: The Intertwined Relationship of AI, Machine Learning, and Deep Learning
In today’s tech-savvy world, terms like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are everywhere. They’re tossed around in news headlines, business meetings, and casual conversations, often interchangeably. While closely related and incredibly powerful when combined, they represent distinct concepts within a hierarchical structure. Understanding this relationship isn’t just academic; it’s crucial […]