From the course: Oracle Cloud Infrastructure Generative AI Professional

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Embedding models

Embedding models

(airy music) - [Instructor] Welcome, everyone. In this lesson, let us look at embedding models available in the OCI Generative AI service. First, let us understand what embeddings are. Embeddings are numerical representations of a piece of text converted to number sequences. A piece of text could be a word, it could be a phrase, could be a sentence, could be a paragraph, or it could be an entire documents, one or more paragraphs. Embeddings make it easy for computers to understand the relationship between pieces of text. Now, let us look at a practical example where embeddings are used. So for example, if I have a sentence which is something like "They sent me a," or rather a phrase, "They sent me a," and I sent this to an encoder, it's kind of an LLM architecture. Now, encoders are really designed to take that text, so this is an encoder, and convert it into a vector. So you see these five vectors? There is a vector for each of the words, and there is also a vector representation for…

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