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Nov 5, 2025 · 6 min read · After weeks of learning how to make models think and reason, today marked a massive leap — I finally learned how to make them act.This day was all about giving my models power to do things — and then using that power to build my first AI agent. And h...
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Nov 1, 2025 · 6 min read · Back from Diwali — building practical RAG systems that actually answer from video transcripts. After Day 12’s theory (the four pillars of RAG), I wanted to build something practical — a YouTube Chatbot that you can ask questions and that answers grou...
Join discussionOct 31, 2025 · 5 min read · After a short Diwali break 🪔, I’m back — recharged, motivated, and ready to keep posting daily again!It feels great to return to my learning journey toward Agentic AI, and this time I’m diving deep into one of the most powerful frameworks in modern ...
Join discussionOct 17, 2025 · 5 min read · After exploring structured outputs and parsers on Day 10, I stepped into one of the most exciting parts of LangChain — the Runnables and Chains ecosystem. If you’ve ever wondered how AI pipelines actually run under the hood — how your prompts, models...
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Oct 10, 2025 · 5 min read · After working with models and prompts in the previous days, I realized that while language models can generate amazing results, their outputs are often free-form text — not always easy for machines to read or integrate into workflows. So, on Day 10, ...
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