课程: Secure Generative AI with Amazon Bedrock
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Architecture patterns with Bedrock
- [Instructor] Now, let's look at the architecture patterns with Amazon Bedrock to build GenAI applications. The very first pattern is text generation. Text generation is a term used for any use case where the output of the model is newly generated text. You can use it to write articles, forms, blogs, books, emails, and so forth. In Amazon Bedrock, you can use various foundation models for text generation task. You can pass the Bedrock foundation model a prompt using an Amazon Bedrock playground or Amazon Bedrock API call. The model will generate text based on the input prompt you provide. Next pattern is text generation with LangChain. For text generation, you can also use a LangChain layer to add a conversation chain to specific text generation use cases. LangChain is a powerful open source library that pairs well with some of the strongest text generation foundation models on Bedrock to efficiently create conversations, text generation, and much more. Then we have text…
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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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