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Natural Language Processing
Text, speech, translation, and retrieval with modern NLP techniques.
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Latest in Natural Language Processing
“Machine translation is still broken for most of the world's languages”: Cohere builds non-reasoning for a reason
1+ day, 7+ hour ago (203+ words) Cohere's North Small Translate beats DeepL and Google Translate on WMT26 across 50 languages — but commercial use requires a Model Vault license....
What Are Embeddings? How AI Represents Meaning as Numbers
2+ week, 1+ day ago (1027+ words) Embeddings are dense numerical vectors learned so that items with useful semantic or behavioral relationships occupy nearby regions of a representation space. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice. Embeddings deserves a precise explanation…...
Stemming vs Lemmatization: Which NLP Technique Should You Use?
1+ day, 7+ hour ago (770+ words) When working with text, the same word can appear in many forms. For example: connect connected connecting connection To a human, these …...
RNN vs LSTM vs GRU for Sequential Data
1+ day, 12+ hour ago (460+ words) A simple guide to understanding RNN, LSTM, and GRU, how they work, their differences, and where to use them. Sequential data is data where the order of …...
Vectors: How Numbers Turns Meaning Into Direction
1+ day, 15+ hour ago (1288+ words) When we say -’ The boy is playing in the garden.’ we see words. Now a language model can only interpret numbers. Before an AI system can compare …...
New AI Framework Turns Thousands of Product Reviews Into Balanced,
1+ day, 17+ hour ago (55+ words) Online shoppers scrolling through a popular product on a major e-commerce platform may face thousands of customer reviews, each expressing a slightly different opinion about quality, price, delivery, durability, or customer service. Reading them all is impossible, and the automated…...
I described 1,245 tables with an LLM and retrieval got worse
1+ day, 22+ hour ago (1126+ words) The cataloguing step is supposed to be the easy win. You have a schema whose tables are called ecm_template_link and v_pmpm, your users ask questions in English, and the gap between those two vocabularies is why retrieval misses. So you point a…...
BPE-Style Tokenizers: The Small Algorithm That Decides What an LLM Can See
2+ day, 2+ hour ago (1289+ words) Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review... Tagged with ai, webdev, programming, productivity....
Spherical Topic Models Bring Coherence to Short-Text Machine Learning
1+ day, 22+ hour ago (55+ words) Probabilistic topic models have long served as one of the workhorses of text mining, offering a statistical lens through which vast collections of documents can be organized into interpretable themes. From latent Dirichlet allocation onward, these models have assumed that…...
Day 7: Dot Product & Cosine Similarity, and How Machines Measure Similarity
1+ day, 22+ hour ago (47+ words) Part 7 of a 50-day journey from zero to building AI agents. Picking up from yesterday Yesterday we treated vectors as just …...