Remove en products single-session-events
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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

With Targeted Sentiment, you can identify groups of mentions (co-reference groups) corresponding to a single real-world entity or attribute, provide the sentiment associated with each entity mention, and offer the classification of the real-world entity based on a pre-determined list of entities.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning

The following is a sample code to fine-tune the Llama 2 7B on your dataset: import os import boto3 from sagemaker.session import Session from sagemaker.jumpstart.estimator import JumpStartEstimator # To fine-tune the 13B/70B model, please change model_id to `meta-textgeneration-llama-2-13b`/`meta-textgeneration-llama-2-70b`.