Full-stack developer | React, Django, Python | Passionate about building ML-powered web apps | Final year CS student
1.Internships in Full-Stack Development, Machine Learning, or DevOps 2.Freelance projects in Web Development or AI solutions 3.Collaboration on Open Source projects
Jan 22 · 3 min read · Introduction While working with LangChain, I learned that getting clean and predictable output from LLMs is just as important as writing good prompts. That’s where Output Parsers come in. This post is based on my hands-on practice while exploring Lan...
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Jan 19 · 2 min read · Introduction Welcome to the next post in my LangChain learning journey.After exploring LangChain basics, models, and prompts, today I focused on another powerful concept: Structured Output. This post is based on my hands-on experimentation while lear...
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Jan 16 · 3 min read · Introduction Welcome to Part 3 of my LangChain learning series.In Part 1, I covered what LangChain is.In Part 2, I explored models in LangChain (LLMs vs ChatModels).Today, I'm diving into another critical foundation of GenAI apps: Prompts. This post ...
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Jan 14 · 3 min read · Introduction Welcome to Part 2 of my LangChain learning series.In Part 1, we covered what LangChain is and why it matters.Today, we go deeper into one of the most important concepts in LangChain: Models. This post is based on my hands-on practice and...
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Jan 12 · 4 min read · If you're getting into Generative AI, you've probably heard the name LangChain everywhere. But what exactly is it? And why is it becoming such a core tool for building AI applications? This is the first post in my learning series where I explore Lang...
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