My Blogs

Word Embeddings: The Mathematical Revolution That Taught Machines to Understand Language explores how mathematical models transformed raw text into meaningful vectors, enabling machines to grasp the nuances of human language. This breakthrough laid the foundation for modern NLP, powering applications from translation to conversational AI.

A comprehensive and modern guide to data analysis, preparation, and exploratory data analysis (EDA) techniques for machine learning. Covers practical workflows using Python libraries like pandas, polars, scikit-learn, and imbalanced-learn—designed to ensure clean, balanced, and model-ready datasets.

Revolutionary multimodal AI systems combining vision, language, audio, and video are approaching artificial general intelligence.

Understanding the fundamental concepts, architecture, and principles behind Large Language Models specialized for coding tasks.

Building a Large Language Model (LLM) specialized for PCB (Printed Circuit Board) and electronic component design requires a systematic approach spanning data collection, model architecture selection, training, evaluation, and deployment. This guide provides an in-depth walkthrough of the entire process.