The Rest is AI

Watch Video on ⁠⁠ YouTube⁠⁠ 🎙️ Welcome back to The Rest is AI! Ever wondered what the difference is between Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI? These buzzwords are everywhere—but most people still confuse them. Today, I break down each of these concepts in simple, relatable terms—with real-world examples and analogies that actually make sense. 👉 By the end...

Watch Video on YouTube Buckle up as I take you on an exciting journey into the world of ground truth data—the foundation that powers artificial intelligence to make sense of the world! In this video, we unpack everything you need to know about ground truth, from its critical role in training AI models to its real-world impact on technologies you interact with daily, like self-driving cars, voice a...

Watch Video on YouTube : https://youtu.be/Kd5Wswjab9w How do neural networks actually learn? The answer lies in Backpropagation — a foundational algorithm that allows AI systems to improve and adapt. In this video, we’ll break down:1. What is Backpropagation in simple terms2. Key concepts like weights, biases, activation functions & forward propagation3. The role of the loss function and gradi...

🎧 Watch Video on YouTube : https://www.youtube.com/@shreyas768 As AI continues to shape decisions in hiring, finance, healthcare, and beyond, there's a growing concern about algorithmic bias —when machines learn from flawed data and end up making unfair or discriminatory decisions. In this episode, we break down: What algorithmic bias really means How biased training data, flawed design, and...

Large Language Models (LLMs) are powerful but not perfect! They can be incredibly accurate—or totally wrong. In this episode, we explore Retrieval-Augmented Generation (RAG), a method that helps AI stay up-to-date and provide more reliable answers. 🧠💡📌 What you'll learn:✅ Why LLMs sometimes give incorrect responses✅ How retrieval-augmented models improve accuracy✅ The role of external kn...