Understanding Embeddings: The Hidden Power Behind Language Models
Large Language Models like GPT, Claude, and Gemini rely on embeddings - dense vector representations of words - to generate accurate and context-aware responses. This post explores the history of embeddings from early methods like N-grams and One-Hot Encoding to the breakthrough of Word2Vec, and explains why embeddings are key to enabling AI tools to understand and process language effectively.
Byamasu Patrick Paul
9 min read
Large Language Models like GPT, Claude, and Gemini rely on embeddings - dense vector representations of words - to generate accurate and context-aware responses. This post explores the history of embeddings from early methods like N-grams and One-Hot Encoding to the breakthrough of Word2Vec, and explains why embeddings are key to enabling AI tools to understand and process language effectively.
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