Learning in Public: My Daily Journey into LLMs, LangChain, and Open Source.

Published: (June 14, 2026 at 08:05 AM EDT)
2 min read
Source: Dev.to

Source: Dev.to

Hi everyone! ๐Ÿ‘‹ Iโ€™m Nitisha, a postgraduate MCA student based in Bengaluru, and I am officially starting my journey of โ€œLearning in Public.โ€ My goal is to master Artificial Intelligence and Data Science, specifically focusing on NLP, LLMs, and LangChain. Iโ€™ve decided to document everything hereโ€”the wins, the bugs, the research, and the breakthroughs. If youโ€™re also starting your journey or are interested in AI development, hit the Follow button! Here is what Iโ€™ll be sharing: ๐Ÿ“ TIL (Today I Learned): Quick, bite-sized insights on the concepts Iโ€™m exploring. ๐Ÿ’ป Code & Snippets: Actual implementation of my projects and experiments. ๐Ÿค– Agent Sessions: Live looks at my coding sessions and agent workflows. ๐Ÿš€ Project Updates: Progress reports on my open-source contributions. ๐Ÿ“ธ Visuals & Notes: Sketches, diagrams, and resources that help me understand complex topics. I believe that the best way to learn is to teach what we know and share what weโ€™re learning. Iโ€™m currently a beginner, and Iโ€™m looking forward to growing with all of you. Starting with my next post, Iโ€™ll be sharing my raw, real-time learning notes on LangChain. These notes will be exactly how I create them during my sessionsโ€”honest, unpolished, and very much a work in progress! I truly believe that we can reach great heights by learning from each other. To make this even better, Iโ€™d love to know what youโ€™re interested in. Do follow along on my journeyโ€”hit that follow button! Iโ€™m looking forward to your feedback and cooperation as we navigate this AI landscape together. Stay tuned for the next update, and letโ€™s learn something new.

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