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4 changes: 2 additions & 2 deletions AWS/submodule05_software_management.ipynb
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"metadata": {},
"source": [
"### Bedrock (Optional)\n",
"If you're having trouble with this submodule (or others within this tutorial), feel free to leverage Bedrock by running the cell below. Bedrock is AWS's advanced generative AI model designed to enhance the capabilities of AI applications across various domains.\n",
"If you're having trouble with this submodule (or others within this tutorial), feel free to leverage Bedrock by running the cell below. AWS Bedrock is Amazon's advanced generative AI tool designed to enhance the capabilities of AI applications across various domains.\n",
"\n",
"Before being able to use the chatbot you must request **Llama 3 8B Instruct** model access through AWS Bedrock. In order to do this follow the insructions to request model access provided in [AWS Bedrock Intro Notebook](https://github.com/STRIDES/NIHCloudLabAWS/blob/main/notebooks/GenAI/AWS_Bedrock_Intro.ipynb). After requesting the Llama 3 8B Instruct access it should only take a minute to get approved. While waiting for model approval attatched the **AmazonBedrockFullAccess** permission to your notebook service role. Once approved run the following code cell to use the model within the notebook. "
"Before being able to use the chatbot you must request **Llama 3 8B Instruct** model access through AWS Bedrock. In order to do this follow the instructions to request model access provided in [AWS Bedrock Intro Notebook](https://github.com/STRIDES/NIHCloudLabAWS/blob/main/notebooks/GenAI/AWS_Bedrock_Intro.ipynb). After requesting the Llama 3 8B Instruct access it should only take a minute to get approved. While waiting for model approval attach the **AmazonBedrockFullAccess** permission to your notebook service role. Once approved run the following code cell to use the model within the notebook. "
]
},
{
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