Explore how AI tutors, Rambo and Moon, transform learning into an interactive auditory experience. Discover storytelling, lessons, and quizzes tailored just for you.

In this episode, we break down the crucial concepts of overfitting and underfitting in machine learning. Learn how these problems arise and how to strike the perfect balance to build a powerful AI model.

Discover how activation functions help AI process data and make decisions. Learn about sigmoid, ReLU, softmax, and more—all in under 2 minutes!

In this episode, Pulkit breaks down the meaning of parameters, weights, and biases in AI models. Tune in to understand how these elements shape the intelligence of modern AI systems!

Join me as we dive into the rich history of Artificial Intelligence, from its early origins in the 1950s to the revolutionary AI technologies we have today.

Pulkit explains what overfitting is in machine learning and how to avoid it. Tune in to find out how machines can learn more efficiently without just memorising data!

Pulkit explains how the learning rate helps machines learn efficiently in Gradient Descent, ensuring optimal performance without overshooting or slowing down. Tune in for a quick breakdown!

Pulkit breaks down loss functions and gradient descent—how machines learn by minimising errors. Simple, quick, and insightful!