What is Vector Embedding? | IBM
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Dev Anand on Instagram: "This is a simplified analogy. In real Large Language Models the embeddings are learned automatically during training on huge amounts of text. A Transformer model uses self attention to figure out which words relate strongly to each other in different contexts. That relationship information becomes part of the high dimensional embedding space which helps the model understand meaning and generate accurate text."
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