Machine Learning

Today, I wanted to discuss an interesting topic that’s been on my mind – the reasoning abilities of Large Language Models (LLMs). You might already know that LLMs with 100B or more parameters can perform tasks like sentiment analysis and machine translation impressively well. However, they still struggle when it comes to certain multi-step reasoning […]

This can be used for quick explanation during office meetings or during online education classes. I have combined my two previous projects: 1. Hand tracking(21 landmark points) 2. Writing on-screen with the pre-identified object (Problem with this was: It was able to write with only previously identified color objects. And that too in a constrained environment.) so, combining

The problem is solved with the OLS regression model, REF, VIF, P values. (To clarify: OLS= Ordinary Least Square, RFE = Recursive Feature elimination, VIF= Variance Inflation Factor) Problem Statement and the Data Data consists of various car features such as car name, fuel type, engine type, engine size, car body, car width, car length, etc. The

Our ability to learn and get better at tasks through experience is part of our life. When we are born, we know almost nothing and can do almost nothing for ourselves. But as we grow, we learn and become more capable every day. But, Did you know that computers can also do the same? This