课程: Secure Generative AI with Amazon Bedrock
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Knowledge base for Amazon Bedrock
- [Instructor] Sometimes you want your foundation models to have access to additional data. For example, if you are using third parties FM and you want to attach it with your organization specific data to help the model generate more relevant context specific and personalized experience for your customers without regularly retraining your foundation model. Another scenario can be if you are using a model which only has data until two months back. And the latest data is available in a separate data store. One of the important capabilities that Bedrock has is the ability to customize a model and tailor it to your business, your data and your products. So it's not necessary keep on retraining your model to keep it up to date with the latest data. Or if you want to personalize responses based on your company's latest position, like most used feature of a specific product or any personalized responses, like what new feature are you looking in, X, Y, Z product. You can add knowledge base to…
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Introduction to Amazon Bedrock7 分钟 21 秒
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Amazon Bedrock features and its workflow3 分钟 8 秒
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Foundation models (FMs) supported by Amazon Bedrock5 分钟 9 秒
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Knowledge base for Amazon Bedrock3 分钟 32 秒
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Agents for Amazon Bedrock2 分钟 14 秒
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Datasets and vector embeddings2 分钟 44 秒
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Architecture patterns with Bedrock8 分钟 37 秒
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Amazon Bedrock Dashboard overview (Demo)4 分钟 57 秒
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Integrating FMs into your code with Amazon Bedrock (Demo)3 分钟 19 秒
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