Accuracy a widely used parameter in Machine Learning model, can be interpreted wrongly sometime. High Accuracy doesn’t alway indicate a strong model. In this article I will talk about when and when not to use Accuracy. Also I will share
Tag: AI
As we come together to celebrate Independence Day, it’s a perfect time to reflect on the incredible journey our nation has undertaken since August 15, 1947. On this day, 78 years ago, India embraced freedom, thanks to the relentless efforts
Manhattan distance, a metric used to calculate distances in grid-like structures, is an important metric in distance calculation. In this document I will be sharing details around the same. I will also share real-world applications of Manhattan distance, including optimizing
In this document I will share an overview of agents in generative AI. The document offers a comprehensive introduction to the concept and functionality of agents in the field of generative AI. This will cover: • Definition: Explains what agents in
New to data science? Cosine Similarity might sound complex, but this guide breaks it down in simple terms. Learn how this metric is used to measure similarity between text documents and its real-world applications. Things we will cover in this
This document that I share today, explores the concept of Euclidean distance and its application in measuring user similarity, particularly in the context of recommendation systems. I am sharing clear explanation of Euclidean distance, its calculation, and interpretation of results.
Meta has recently released the largest version of its mostly free Llama 3 artificial intelligence model, boasting impressive multilingual capabilities and superior general performance. With 405 billion parameters, this new version is significantly larger than its predecessor released last year.
With a free Gemini Basic version available and a paid Gemini Advanced model, it’s always interesting to wonder whether it’s worth getting access to the Advanced model. Today in this document, I will share my detailed analysis and comparison between
There are 100s of tools available to support Data Scientists to do their day to day job. But due the usefulness, features and ease to use, few are widely popular compared to rest. This document provides a brief overview of
Quantum computing in the Generative AI space is in its early stages, marked by significant research and experimental developments. While practical applications are limited by current technological constraints, ongoing advancements and increasing investment suggest a promising future where quantum computing