Machine Learning Basics [ML 1.b] Teaching AI Models: Gradient Descent In the last post, we established the big idea: machine learning is about finding patterns from data instead of writing…
Machine Learning Basics [ML 2.a] Word2Vec: Start of Dense Embeddings When you type a search query into Google or ask Spotify to find “chill acoustic covers,” the system…
Machine Learning Basics [ML 2.b] Measuring Meaning: Cosine Similarity In the previous posts, we established that embeddings turn everything into points in space and that Word2Vec showed how…
Machine Learning Basics [C1] What Machines Actually Do (And What They Don’t) Every time you use Google Maps at 5:30 PM, something remarkable happens — and it has nothing to do with intelligence.…
Musings [MU 1] Advertising in the Age of AI When you search for a product today, ads quietly shape what you notice. When you scroll Instagram, ads compete for…
Model Intuition [MI 4] The BERT Family: A family of different experts You’ve been there. You type “my package never showed up” into a company’s support chatbot, and…
How Smart Vector Search Works By Archit Sharma 4 Min Read In the ever-evolving world, the art of forging genuine connections remains timeless. Whether it’s with colleagues, clients, or partners, establishing a genuine rapport paves the way for collaborative success. Read More