Easysearch Vector Search: From Theory to Hands‑On Implementation

This article explains the principles of vector search, compares Easysearch's approximate (LSH) and exact kNN APIs, and walks through a complete hands‑on example using Stanford's 50‑dimensional GloVe embeddings to index, import, and query semantically similar words.

Approximate SearchCosine SimilarityEasysearch

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Easysearch Vector Search: From Theory to Hands‑On Implementation

FunTester

Nov 11, 2020 · Artificial Intelligence

Unlocking NLP: From the Turing Test to Word Embeddings and Beyond

This article provides a comprehensive overview of natural language processing, tracing its origins from Turing's seminal test to modern techniques like regular expressions, word order importance, word embeddings, Word2vec, GloVe, and knowledge‑ and retrieval‑based chatbot methods.

GloVeKnowledge GraphsNLP

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Unlocking NLP: From the Turing Test to Word Embeddings and Beyond

Alibaba Cloud Developer

Jun 18, 2019 · Artificial Intelligence

From Word2Vec to Quick-Thought: A Complete Guide to Modern Embeddings

This article reviews the evolution of word and sentence embeddings, covering foundational theories like vector semantics and distributional hypothesis, practical models such as Word2Vec, GloVe, fastText, Skip‑Thought, Quick‑Thought, and evaluation techniques, while offering implementation tips and real‑world use cases.

GloVeNLPWord2Vec

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From Word2Vec to Quick-Thought: A Complete Guide to Modern Embeddings