From the course: Oracle Cloud Infrastructure Generative AI Professional
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Embedding models - Oracle Cloud Infrastructure Tutorial
From the course: Oracle Cloud Infrastructure Generative AI Professional
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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Module introduction45s
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OCI Generative AI7m 21s
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Demo: OCI Generative AI12m 22s
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Chat models9m 58s
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Demo: Chat models7m 5s
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Demo: OCI Generative AI service inference API7m 37s
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Demo: Config setup for generative AI inference API5m 35s
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Embedding models13m 4s
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Demo: Embedding models7m 25s
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Prompt engineering11m 10s
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Customize LLMs with your data9m 56s
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Fine-tuning and inference in OCI Generative AI11m 24s
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Dedicated AI cluster sizing and pricing10m 45s
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Demo: Dedicated AI clusters6m 16s
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Fine-tuning configuration9m 42s
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Demo: Fine-tuning and custom models6m 13s
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Demo: Inference using endpoint5m 53s
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OCI Generative AI security4m 31s
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