From the course: Oracle Cloud Infrastructure Generative AI Professional
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Customize LLMs with your data - Oracle Cloud Infrastructure Tutorial
From the course: Oracle Cloud Infrastructure Generative AI Professional
Customize LLMs with your data
(gentle music) - [Rohit] Hello, everyone. Welcome to this lesson on customizing LLMs with your data. Before we dive deeper, let us look at whether you can train LLMs from scratch with your data. It's not a great idea to do so. Why? There are three main reasons. The first reason is it's very expensive to train these models. You can see some numbers here. It around roughly costs $1 million to train a language model with 10 billion parameters. You need a lot of data for training these models. For example, Meta's Llama-2 model was trained on 2 trillion tokens. That's something like 1 billion legal briefs, and you need a lot of annotated data, basically data which is labeled, categorized, and tagged. So it's also very labor-intensive. And then you need a lot of expertise. Pre-training these models is hard, requires a thorough understanding of the model performance, how to monitor for it, detect and mitigate hardware failures, and understands the limitations of the model. So it's not a…
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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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