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Updated notebook prerequisites to discuss model access requirements
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workshops/fine-tuning-with-sagemakerai-and-bedrock/task_05_fmops/05.00_fmops_examples.ipynb

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"## Prerequisites \n",
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"Before you begin, make sure you have the following prerequisites in place:\n",
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"\n",
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"- MLflow tracking server: If you're running this lab in a workshop environment, a MLflow tracking server has already been created for you. If you need to create a MLflow tracking server, follow the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server.html)"
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"- MLflow tracking server: If you're running this lab in a workshop environment, a MLflow tracking server has already been created for you. If you need to create a MLflow tracking server, follow the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server.html)\n",
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"- Haiku 3 Model Access: In order to use the LLM-as-a-Judge feature of these labs, you will need Amazon Bedrock model access to Haiku 3. Follow the [documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html) for more details on how to modify model access."
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workshops/fine-tuning-with-sagemakerai-and-bedrock/task_05_fmops/05.01_fine-tuning-pipeline.ipynb

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"## Prerequisites \n",
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"Before you begin, make sure you have the following prerequisites in place:\n",
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"\n",
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"- MLflow tracking server: If you're running this lab in a workshop environment, a MLflow tracking server has already been created for you. If you need to create a MLflow tracking server, follow the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server.html)"
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"- MLflow tracking server: If you're running this lab in a workshop environment, a MLflow tracking server has already been created for you. If you need to create a MLflow tracking server, follow the [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/mlflow-create-tracking-server.html)\n",
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"- Haiku 3 Model Access: In order to use the LLM-as-a-Judge feature of these labs, you will need Amazon Bedrock model access to Haiku 3. Follow the [documentation](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html) for more details on how to modify model access."
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