Oct 22, 2025 · 2 min read · From the TensorFlow documentation word embeddings documentation Word embeddings give us a way to use an efficient, dense representation in which similar words have a similar encoding. Importantly, you do not have to specify this encoding by hand. An...
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Aug 13, 2025 · 3 min read · Mom, you know your mobile is a mathematician 📊 but pretty bad at English? That’s why it turns every word you say into numbers. Once it has those numbers, it plots them on an invisible map 🗺️ to figure out what you actually mean… kind of like a frie...
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Apr 3, 2025 · 4 min read · Tokenization and Indexing You might have seen machine learning models that takes some text and predict whether it is spam or not. Similarly a model can analyze a movie review and can determine its sentiment (positive or negative). The first rule of t...
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Feb 9, 2025 · 12 min read · Introduction Have you ever wondered how machines understand human language? How does Google suggest search queries even before you finish typing? How do chatbots comprehend user queries and generate relevant responses? The secret lies in word embeddi...
Join discussionJan 24, 2025 · 4 min read · Introduction Imagine walking into a library that has no labels or categories. All the books are just randomly placed on shelves. Finding a book you like would take forever, right? But what if we could arrange the books in a way where similar ones are...
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