Large Language Models
Embedding
A dense vector representation of discrete data (words, tokens) in continuous space, capturing semantic relationships.
Related Concepts
- Word2Vec: Explore how Word2Vec relates to Embedding
- Vector Space: Explore how Vector Space relates to Embedding
- Semantic Similarity: Explore how Semantic Similarity relates to Embedding
Why It Matters
Understanding Embedding is crucial for anyone working with large language models. This concept helps build a foundation for more advanced topics in AI and machine learning.
Learn More
This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
large-language-models word2vec vector-space semantic-similarity