Dec 22, 2025 · 5 min read · Have you ever wondered how a computer knows that a cat is more like a dog than a car? To a machine, words are just strings of characters or arbitrary ID numbers. But in the world of Natural Language Processing, we’ve found a way to give words a home ...
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Apr 13, 2025 · 8 min read · 📌 What is Text Vectorization? In NLP, machines can’t understand text directly — they understand numbers. Text vectorization is the process of converting textual data into numerical vectors so that we can feed them into machine learning or deep learn...
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Mar 4, 2025 · 4 min read · RAG has significant advantage over traditional generative models that rely solely on pre-trained data. RAG systems incorporate a retrieval mechanism that dynamically fetches relevant information to improve the accuracy and reliability of responses. E...
Join discussionJan 20, 2025 · 4 min read · Recently, someone shared an exciting "discovery" online: the idea that language could be understood like linear algebra, with each word a vector and concepts existing in their own vector space. Their enthusiasm was infectious, presenting a world wher...
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Jan 11, 2025 · 4 min read · Last Blog Review → In the last, blog we understood how to use “Find” command in linux, which makes the life easy as there are lot of files and directories in linux because being a inverted tree like structure, it’s very difficult to find a particular...
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Dec 30, 2024 · 4 min read · Introduction At the core of AI’s ability to understand language lies an invisible map — one that doesn’t just list words but captures their meaning and connections. How can machines tell that king and queen are related, or that dog is closer to cat ...
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Oct 24, 2024 · 6 min read · 🌟INTRODUCTION What are these Word Embeddings? In a broad sense, these are just representations of words using numbers or vectors. Well, there’s more to it and In this blog, I will be going through the whole story of WORD EMBEDDINGS. "Okay, but why '...
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Oct 17, 2024 · 6 min read · 🌟INTRODUCTION What are these Word Embeddings? In a broad sense, these are just representations of words using numbers or vectors. Well, there’s more to it and In this blog, I will be going through the whole story of WORD EMBEDDINGS. "Okay, but why '...
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Oct 1, 2024 · 3 min read · At its core, modern Natural Language Processing is built on a fascinating idea: "A word is characterized by the company it keeps." When I first learned about vector embeddings, this concept instantly reminded me of the saying "You are the average of ...
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Aug 30, 2024 · 5 min read · Introduction: The Journey of Text Understanding In the realm of natural language processing (NLP), one of the most intriguing challenges has always been how machines can effectively understand and interpret human language. This journey has seen the e...
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