I’m sharing a comprehensive document that delves into the core of Data Engineering, Data Science, and Business Analysis. Whether you’re starting your career or looking to pivot into the data realm, this resource is tailored for you. ð Inside, you’ll
Tag: AI
I am sharing a series of documents that will help to understand Transformer Architecture from end to end, and in easy to understand language. Transformer Architecture remains the backbone of Generative AI LLM Models. Understanding this will help you a
In the ongoing series to explain Transformer Architecture better, this document is focused on Decoder. The Transformer decoder is a neural network component designed to generate output sequences based on encoded input representations. It employs self-attention mechanisms to understand the
Sometimes when we browse to find relevant videos, we have to spend good amount of time to see through the videos and find relevant content. In case we have a summary available for the video, a quick walkthrough can save our
In continuation in the document series of âTransformers Architectureâ. Today I will be covering Encoders.Ever felt lost trying to understand Encoders in Transformer Architectures?  You’re not alone!This comprehensive guide will be your one-stop shop to mastering this crucial NLP concept. Here’s
Unveiling Generative AI’s Power in Presentation Summaries with Microsoft PowerPoint Copilot Gone are the days of toiling over presentation summaries! Today in this document, I’m diving into the exciting world of Generative AI and its game-changing application in Microsoft PowerPoint Copilot.
In the last two posts of the series ‘Key Concepts for Transformers,’ I covered Tokens, Tokenization, and Word Embeddings. In this post, I will explain the concept of ‘Self-Attention Mechanism.’ This is a crucial concept and a powerful tool for
In continuation to the previous post where I discussed about Tokens and Tokenization, in this document we will be discussing about “Word Embeddings”. This topic is again one of the key ones to understand before going deeper into the transformer
Transformer architecture serves as the foundation of Large Language Models. To understand Transformer Architecture, there are various concepts that need clearer understanding beforehand. In this document, and in the upcoming few, I will touch on some of the important concepts
In this second document of Generative AI deep dives series, development of Large Language model is covered. There are multiple organization, working at their individual capacity to create Large Language Models. Most of the models are tasked with specific use