A blog by Pramesh Gautam

Easy and intuitive explanations on Machine Learning, Deep Learning, Gen AI, and Software Engineering.

From PoC to Production: Lessons Learned Building GenAI Apps

Sharing my experience of writing LLM-based apps

OpenAI CLIP explained

computer-vision

Learn how contrastive learning connects vision and language for zero-shot image classification

Meta AI Barlow Twins paper Explained

computer-vision

self-supervised-learning

Learn how redundancy reduction enables learning without labels in computer vision.

Class Activation Map

computer-vision

Visualize what neural networks see with Class Activation Maps (CAM) using ResNet and PyTorch.

Augmentations: Cutout, Mixup, Cutmix, Label Smoothing

computer-vision

Learn data augmentation techniques for computer vision with visual explanations and Python implementations.

Knowledge Distillation explained

computer-vision

Learn knowledge distillation for model compression and efficient deployment.