Learn how model quantization reduces the size and speeds up deep learning models, making large language models like LLaMA and GPT more deployable on edge devices.

Understand the role of regularization techniques in preventing overfitting and improving generalization in deep neural networks.

Learn what hyperparameters are, why they matter, and how to optimize them using methods like grid search, random search, and Bayesian optimization.

My AI journey started long back when I was in college. During those days it was more of a research topic. I did a research project involving fuzzy logic and digital signal processing where I first ...