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)
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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)
19 reads
We had an interesting discussion about deployments in databases and how you go forward or back from the point when you discover a problem. You can watch the episode...
2026-03-13 (first published: 2026-02-23)
268 reads
In the realm of software development and content creation, the deployment pipeline serves as a crucial bridge between innovation and implementation. Whether you are fine-tuning code, testing new features,...
2026-03-11 (first published: 2026-03-03)
270 reads
Quite the title, so let me set the stage first. You have an Azure Data Factory instance (or Azure Synapse Pipelines) and you have a couple of linked services...
2026-03-11 (first published: 2026-03-03)
318 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