In the LLM world, LangGraph is something most of you might have heard of at least. In my last post, I explained the Lang series including LangChain, LangGraph and LangSmith. LangGraph is an extensive version of LangChain and helps us create Agents. According to the textbook definition of LangGraph -

So many aspirants have pinged me on LinkedIn to ask me questions about pursuing a masters abroad, and how has my journey been. One of the common questions I get a lot is - whether the ROI of the education would be good enough? In this blog, I will try

As AI tends to take over the world, the revolution is deepening at a fast pace. This pace is probably higher than what was expected. The reason for this high pace is the opportunity - to operationalize, automate, create, and save costs. Everyone wants to do AI today - however,

Introduction LLM APIs has made so many things possible today. The integration simply makes it possible to speak to the LLMs like never before and perform and automate so many tasks for us. We can integrate it to summarize documents, ask questions, perform chat completions, generate images, and n number

While working through my goals for 2025, I was trying to make goals which are achievable, fun and exciting. Otherwise, goals are made and then just forgotten through the rest of the year. I tried to do something different this time. I usually love structuring things, and creating frameworks; it

Why is this area so hazy? Predictive analytics & self serve has been in the market for sometime and with this new area, it is becoming not just exciting but also blurry. With so much pressure from senior leadership to do GenAI proof of concepts, some of the concepts are

Introduction In the intricate world of statistics, it's akin to navigating two distinct clubs with their unique vibes—welcome to the realms of frequentists and Bayesians. Starting your stats journey often involves joining the frequentists, and exploring classic techniques such as t-tests and ANOVA. Yet, as you delve

Welcome to the blog where we dive into the world of Bayesian inference models! In this exploration, we'll unravel the magic of Bayesian statistics by implementing it in two practical examples. Get ready to demystify the Bayesian approach as we walk through real-world applications, sampling posterior distributions, and

GenAI, ML