How can we make our RAGs Better?
Ever wondered how we can calculate the success metrics of RAGs model? How we enhance the model and on which parameters especially when we have so many models? Most frequent metrics that can come to ou

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Ever wondered how we can calculate the success metrics of RAGs model? How we enhance the model and on which parameters especially when we have so many models? Most frequent metrics that can come to ou

As I was preparing for frontend interviews, I realized that one of the trickiest concepts to explain clearly is memoization in React, especially when it comes to optimizing re-renders. So I created this visual to simplify how these three tools work t...

Imagine you're BENJAMIN who is just hired by a law firm PEARSON HARDMAN. Their goal? To integrate AI into their internal systems so that legal documents, case files, and client information can be retrieved effortlessly - just by asking a question. I ...

Ever chatted with ChatGPT and wondered how it knows what tone to use or how deep to go? That magic comes from prompting — the art of telling an LLM (Large Language Model) what you want and how you want it. Let’s break it down in a way that’s fun, vis...

Picture this: your frontend needs to render a blog post with its author's name and other authored posts. With a RESTful setup, that typically means: GET /blog/:id GET /author/:id GET /author/:id/blogs That’s three API calls just to render one vi...

You’ve built an app. It works fine locally, passes load tests, even sails through staging. But the moment real users flood in — updates spike, interactions multiply — everything slows down. Sometimes it even breaks. Why? Throughput. Let’s take two re...
