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Latest Articles

Medium
medium.com > @adarsh.ds > rnn-vs-lstm-vs-gru-for-sequential-data-7de00587d2f1

RNN vs LSTM vs GRU for Sequential Data

2+ hour, 22+ min 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 …...

Medium
medium.com > @piyas.de > vectors-how-numbers-turns-meaning-into-direction-e5871bb7ac8f

Vectors: How Numbers Turns Meaning Into Direction

5+ hour, 1+ min 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 …...

BIOENGINEER.ORG
bioengineer.org > new-ai-framework-turns-thousands-of-product-reviews-into-balanced-bias-resistant-summaries

New AI Framework Turns Thousands of Product Reviews Into Balanced,

7+ hour, 23+ min 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…...

DEV Community
dev.to > ashish_sinha_5241c7673d93 > i-described-1245-tables-with-an-llm-and-retrieval-got-worse-58a

I described 1,245 tables with an LLM and retrieval got worse

12+ hour, 2+ min 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…...

DEV Community
dev.to > shrsv > bpe-style-tokenizers-the-small-algorithm-that-decides-what-an-llm-can-see-2a72

BPE-Style Tokenizers: The Small Algorithm That Decides What an LLM Can See

16+ hour, 26+ min 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....

BIOENGINEER.ORG
bioengineer.org > spherical-topic-models-bring-coherence-to-short-text-machine-learning

Spherical Topic Models Bring Coherence to Short-Text Machine Learning

12+ hour, 33+ min 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…...

Medium
medium.com > @sangavi2205 > day-7-dot-product-cosine-similarity-and-how-machines-measure-similarity-bc38b6a24e7a

Day 7: Dot Product & Cosine Similarity, and How Machines Measure Similarity

12+ hour, 30+ min 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 …...

Medium
medium.com > @itsmayurmore > tokenization-is-not-a-preprocessing-step-its-a-system-design-decision-c8a4ba9b6ab2

Tokenization Is Not a Preprocessing Step. It’s a System Design Decision.

17+ hour, 2+ min ago   (281+ words) Introduction At some point almost every LLM engineer hits one of these: A “128k context window” model runs out of …...

DEV Community
dev.to > priyeshdave6 > day-16-cosine-similarity-and-semantic-search-basics-2pje

Day 16: Cosine Similarity and Semantic Search Basics

1+ day, 1+ hour ago   (495+ words) Cosine similarity measures how closely two vectors point in the same direction, regardless of their length. Picture a vector as an arrow from the origin in space. Cosine similarity looks at the angle between two such arrows. If they point…...

mdpi.com
mdpi.com > 2076-16/18/3417 > 9065

Applied Sciences, Vol. 16, Pages 9065: Bayesian Biaffine Variational Graph Convolutional Network for Aspect-Based Sentiment Analysis

1+ day, 1+ hour ago   (496+ words) Aspect-based sentiment analysis (ABSA) aims to identify the sentiment polarity expressed toward a specific aspect in a sentence. Existing sequential and Transformer-based methods can effectively capture contextual semantics, but they often lack explicit modeling of aspect–opinion relations. Graph-based approaches…...