Junyu Chenforpgvecto.rsblog.pgvecto.rs·Jul 5, 2024Unleash the power of sparse vectorIn the past, hybrid search combined two search methods: traditional keyword-based search and vector-based similarity search. However, sparse vector can act as a substitute for keyword search, unlocking the full potential of the data pipeline with pur...Discuss·1 like·70 readssparsevectors
Saurabh Naiksaurabhz.hashnode.dev·Apr 18, 2024Cracking the Code: Understanding Encoder-Decoder Architecture and Distance Measures for Word Embeddings with PythonIntroduction: Word embeddings, a cornerstone of natural language processing (NLP), provide a means to represent words in a machine-understandable format by capturing their semantic meaning. In this technical blog, we delve into the encoder-decoder ar...DiscussGenerative AIdistances
Fotie M. Constantblog.fotiecodes.com·Apr 11, 2024Explaining Embeddings in Machine Learning like I'm 10Words are very powerful! To help people understand us, we use them to communicate our ideas and thoughts. The funny thing is, although humans understand words, AI models don't actually understand them. All they understand are numbers! Thus, we need t...Discuss·10 likes·29 readsMachine Learning
Nitin Agarwalcognibits.hashnode.dev·Jan 24, 2024Understanding Word Embeddings: Word2Vec and GloVeWord embeddings are a crucial component of natural language processing (NLP) and machine learning applications. They represent words as dense vectors in a continuous vector space, capturing semantic relationships between words. In this article, we'll...Discussnlp
Atrij Paulatrijpaul.hashnode.dev·Nov 16, 2023Exquisite Exposition of Word EmbeddingsWhat is Word Embedding ? In Natural Language Processing , word embedding is a term used for the representation of words for text analysis , typically in the form of real valued vectors that encodes the meaning of the word such that the words that are...Iqra Technology and 3 others are discussing this4 people are discussing thisDiscuss·54 likes·327 readsword2vec
picipici.hashnode.dev·Oct 31, 2023Word embeddingIntroduction Word embeddings have become a foundational technology in Natural Language Processing (NLP), providing a way to represent words and documents in a numerical format. In this blog post, we'll explore the use of word embeddings in the contex...DiscussNatural Language Processingnlp
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Oct 19, 2023What's word embedding?🧩 What's word embedding? Do you wonder how #ArtificialIntelligence algorithms process text? Word embeddings take words and turn them into vectors. It helps computers understand words like humans do! 🌌 Embeddings Embedding has the property: - simila...DiscussMachine Learning
K Ahameddatailm.hashnode.dev·Sep 20, 2023Boosting Text Classification with Pre-trained Word Embeddings in NLPWhen working with text classification tasks in NLP, consider using pre-trained word embeddings like Word2Vec, FastText, or GloVe. These embeddings capture semantic relationships between words and can enhance your model's performance. The gensim.downl...DiscussNatural Language Processingnlp
Rohinish Singhrohinish.hashnode.dev·Aug 20, 2023Generating Word Embeddings using BERTGenerating Word embeddings is one of the techniques in Natural Language Processing (NLP) where the words are converted into vectors of real numbers to feed them into models built for custom tasks as input features. Word embeddings can capture the con...Discuss·11 likes·40 readsBERT
Amit Vikram Rajamitvikramraj.hashnode.dev·Apr 28, 2023Word EmbeddingsWhat is Word Embedding? Word embedding - Wiki In NLP, a word embedding is a representation of a word. The embedding is used in text analysis. Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way t...Discussnatural language processing
