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recipes/llama_api_providers/examples_with_aws/getting_started_llama2_on_amazon_bedrock.ipynb

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"# Using Amazon Bedrock with Llama\n",
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"Open this notebook in <a href=\"https://colab.research.google.com/github/meta-llama/llama-recipes/blob/main/recipes/llama_api_providers/examples_with_aws/getting_started_llama2_on_amazon_bedrock.ipynb\"><img data-canonical-src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" src=\"https://camo.githubusercontent.com/f5e0d0538a9c2972b5d413e0ace04cecd8efd828d133133933dfffec282a4e1b/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667\"></a>\n",
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"Use this notebook to quickly get started with Llama on Bedrock. You can access the Amazon Bedrock API using the AWS Python SDK.\n",
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"In this notebook, we will give you some simple code to confirm to get up and running with the AWS Python SDK, setting up credentials, looking up the list of available Meta Llama models, and using bedrock to inference.\n",

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