From the course: Oracle Cloud Infrastructure Generative AI Professional
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Demo: OCI Generative AI service inference API - Oracle Cloud Infrastructure Tutorial
From the course: Oracle Cloud Infrastructure Generative AI Professional
Demo: OCI Generative AI service inference API
(soft music) - [Rohit] Welcome to this demo on OCI Generative AI Inference API. So, in the previous demo, we saw how you can interact with the OCI Generative AI chat models using the management console and what we refer to as playground. So I can come here and all the models are listed. I can choose a particular example, which is around generating a job description and click submit. And now the chat model is generating a job description for a senior data visualization expert. And you can see all the details here. Now what if I don't want to use the management console, but rather use the same thing in a program using an SDK programmatically. So the way you do that is you click on view code and console makes it super easy. And I can see the code to execute this in both Java and Python. So I'll click Python here and you can see the code is listed right here. I can copy this code and now I can run this locally on my machine. So the way we do that is using what we refer to as Python…
Contents
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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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