Word2Vec

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• Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
• Large Language Model (LLM) ... Multimodal ... Foundation Models (FM) ... Generative Pre-trained ... Transformer ... (GPT-4) ... GPT-5 ... Attention ... GAN ... BERT
• Doc2Vec
• Node2Vec
• Skip-Gram
• Global Vectors for Word Representation (GloVe)
• Bag-of-Words (BoW)
• Continuous Bag-of-Words (CBoW)
• Similarity
• TensorFlow
  • Embedding Projector
• Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
  • A Beginner's Guide to Word2Vec and Neural Word Embeddings | Chris Nicholson - A.I. Wiki pathmind
• Introduction to Word Embedding and Word2Vec | Dhruvil Karani - Towards Data Science - Medium
• Distributed Representations of Words and Phrases and their Compositionality | Tomas Mikolov - Google

a shallow, two-layer neural networks which is trained to reconstruct linguistic contexts of words. It takes as its input a large corpus of words and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space.