Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI, Today on Day 3 I would like to write about LLM models — Open Source...
2026-03-13 (first published: 2026-03-03)
285 reads
Continuing from Day 5 where we covered notebooks, HuggingFace and fine tuning AI now Day 6 is inside of AI , how AI understand us, as computer do not...
2026-03-13 (first published: 2026-03-06)
17 reads
Continuing from Day 3 where we covered LLM models open/closed and their parameters, Today on Day 4 I would like to write about the Transformer architecture — the foundation...
2026-03-09 (first published: 2026-03-04)
11 reads
Continuing from Day 6 we learned Embeddings, Semantic Search and Checks, on Day 7 we would learn about Vectors and Vector Databases. this is a place where AI data...
2026-03-09 (first published: 2026-03-07)
25 reads
RAG — Retrieval Augmented Generation. we have covered so far — embeddings, vectors, vector databases — all comes together here! What is RAG? all the AI model has predefined...
2026-03-09 (first published: 2026-03-08)
20 reads
I wrote about TempDB Internals and understand that Tempdb plays very important role on SQL Server performance and everything temporary / memory spill comes to tempdb and it is...
2026-03-09 (first published: 2026-03-02)
411 reads