Tokenization Explained with Code: BPE vs WordPiece vs SentencePiece
Tokenization If neural networks understand numbers, how do they understand text?The answer lies in tokenization — one of the most overlooked yet critical components of...
Build a CNN from Scratch Using Python and NumPy
Building a Convolutional Neural Network (CNN) Deep learning frameworks like TensorFlow and PyTorch make building CNNs extremely easy — sometimes too easy.Because most operations happen...
Power of Words in AI: How Writing Makes You a Better Engineer
Introduction – The Underrated Skill in AI Most AI engineers spend hours on model tuning, parameter optimization or pipeline debugging – but none on how...
AlphaEvolve, Multi-Agent Systems, and AI in Science: Research Highlights 2025
Intro: Why 2025 Matters for AI Research It has been a year of significant advancements in the field of artificial intelligence. Outside of larger models,...
10 Transformer Interview Questions Every AI Engineer Should Know
What is a Transformer? The Transformer architecture has entirely reinvented AI – both the chatbots and the state-of-the-art models such as GPT and BERT. When...
How RAG Makes AI Smarter: From Chatbots to Research Assistants
Why do we need RAG? Let me illustrate the need for RAG with a popular example from NVIDIA. Imagine there is a courtroom and judges present...
Latest AI Breakthroughs: Smarter Tools, Bold Moves, and What’s Next
Introduction Artificial Intelligence has been a rapidly evolving field and is reshaping the perspective how we work, write, and even collaborate with technology. August 2025...
Fine-Tuning LLaMA with LoRA: A Lightweight Approach to Sentiment Analysis
Introduction Large Language Models like LLaMA, GPT, and Mistral are exceptionally powerful models that have leveraged human processing power of storage space for training billions...