From the course: Secure Generative AI with Amazon Bedrock
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Amazon Bedrock Dashboard overview (Demo)
From the course: Secure Generative AI with Amazon Bedrock
Amazon Bedrock Dashboard overview (Demo)
- Now let's see how to get started with Amazon Bedrock. So here I'm logged into my AWS Management console and I will search for Bedrock Service. It will take me to the Bedrock Service dashboard where I can click on get Started. And if this is the first time you are using this Bedrock Console, you will be prompted to activate the different models. Else, you can come onto this section model access and can see what all different models you have got access on. So here I have got access on AI 21 Labs, as well as on Cohere, and I have also got access on Stability AI models. If I need access on any other model, I can simply go to manage model access, select the specific models, and can save the changes. It takes few minutes to get access onto these models. In overview section, you can check the various models supported by Amazon Bedrock. If you want to have more information about these models, you can go to provider section where you can check the details about model provided by the specific…
Contents
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Introduction to Amazon Bedrock7m 21s
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Amazon Bedrock features and its workflow3m 8s
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Foundation models (FMs) supported by Amazon Bedrock5m 9s
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Knowledge base for Amazon Bedrock3m 32s
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Agents for Amazon Bedrock2m 14s
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Datasets and vector embeddings2m 44s
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Architecture patterns with Bedrock8m 37s
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Amazon Bedrock Dashboard overview (Demo)4m 57s
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Integrating FMs into your code with Amazon Bedrock (Demo)3m 19s
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