Welcome back to the second episode of the blog series on Linear Algebra from the lens of Machine Learning. In the first episode, an overview of Scalars was discussed alongwith their relevance in machine learning. In this episode, let’s dive deep into vectors, one of the fundamental concepts of linear…
Month: August 2023
Scalars in Machine Learning: A Fundamental Building Block
Welcome to the first episode of the blog series on Linear Algebra from the lens of Machine Learning. Today, let’s dive deep into one of the most basic yet fundamental concepts: Scalars. What is a Scalar? In the realm of mathematics, a scalar is a single numerical value. Unlike vectors…
Deep Generative Models (DGMs): Understanding Their Power and Vulnerabilities
In the ever-evolving world of AI, Deep Generative Models (DGMs) stand out as a fascinating subset. Let’s understand their capabilities, unique characteristics, and potential vulnerabilities. Introduction to AI Models The Magic Behind DGMs: Latent Codes Imagine condensing an entire book into a short summary. This summary, which captures the essence…
Crafting a Chatbot with Advanced LLMs: A Technical Exploration with Everyday Analogies
In today’s AI-driven landscape, chatbots powered by Large Language Models (LLMs) like ChatGPT have revolutionized digital interactions. But how does one construct such an AI marvel? Dive deep through this blogpost into the technical intricacies of building a state-of-the-art chatbot, juxtaposed with relatable gardening analogies for clarity. Data Aggregation Tokenization…
Unveiling the Magic of AI: Predicting Health Risks from Images
In the realm of healthcare, artificial intelligence (AI) is no longer a futuristic concept; it’s a reality that’s transforming lives today. Two recent breakthroughs have brought this to light: AI’s ability to predict heart disease from retinal images and diabetes from chest X-rays. But how does AI accomplish these feats?…
Understanding the Essence of Prominent AI/ML Libraries
Artificial Intelligence (AI) and Machine Learning (ML) have become an integral part of many industries. With a plethora of libraries available, choosing the right one can be overwhelming. This blog post explores some of the prominent libraries, their generic use cases, pros, cons, and potential security issues. TensorFlow PyTorch Keras…