From the course: Oracle Cloud Infrastructure Generative AI Professional Cert Prep
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Embedding models - Oracle Cloud Infrastructure Tutorial
From the course: Oracle Cloud Infrastructure Generative AI Professional Cert Prep
Embedding models
(ambient music) - [Rohit] 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 send 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, a representation…
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Module introduction45s
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Introduction to OCI Generative AI service8m 36s
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Demo: Generative AI service walkthrough6m 24s
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Generation models11m 43s
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Demo: Generation models7m 57s
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Demo: OCI Generative AI service inference API10m 21s
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Demo: Setting up OCI config for Generative AI API6m 1s
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Summarization models2m 39s
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Embedding models13m 4s
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Demo: Summarization and embedding models8m 28s
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Prompt engineering11m 10s
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Demo: Prompt engineering with OCI Generative AI11m 4s
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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 pricing8m 26s
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Demo: Dedicated AI clusters6m 16s
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Fine-tuning configuration6m
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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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