From the course: Secure Generative AI with Amazon Bedrock
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Integrating FMs into your code with Amazon Bedrock (Demo)
From the course: Secure Generative AI with Amazon Bedrock
Integrating FMs into your code with Amazon Bedrock (Demo)
- Alright, now let's see how to integrate foundation models into your code using Amazon Bedrock. So here I have pre-created this script to integrate foundation models in the code and it is available on GitHub with name bedrock.py. So here, first of all, I'm importing boto3 and Json, and please remember for this you need to install latest version of boto3, because that supports bedrock runtime. Then I'm simply creating an input where I am providing my API call. And this API call, I have simply grabbed from the dashboard. So here I'm using the cohere model. So if we go to the Amazon console, if you go to the providers tab here and go to the specific model provider, go here in this case, you can simply see there is an API request call is available. Just simply copy this code and paste it on your script. So here I have simply copied this, you can see the model ID here is cohere and then I have provided a prompt here. So I have simply provided a prompt here that please write a four liner…
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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