Author name: debasis_maity

I believe everyone has a story that helps someone else reflect. We tend to look up to celebrities for inspiration, […]

Introduction If you’ve ever tried to learn how large language models (LLMs) work, you’ve probably hit a wall of jargon

In Post 8 you used transformer embeddings — you called sentence-transformers and OpenAI’s API and got back beautiful context-aware vectors.

I want to be honest with you: I didn’t know what “impressions” meant six months ago. I wasn’t tracking algorithms,

I joined TCS in 2005. The IT industry was booming. Everyone was hiring. I genuinely thought it would last forever.

Introduction Two questions come up constantly once a team decides to move PostgreSQL onto Kubernetes: “How do I actually get

Theory, every command, and every measured result — building RDS and Aurora PostgreSQL from scratch in a private-subnet lab, CLI

Every technique so far has hit the same wall. One-Hot has no meaning. Bag of Words and TF-IDF count words

In Post 6 we opened the Word2Vec black box and saw the training loop on the whiteboard. Today we finish