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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning Blog

Through a runtime process that includes preprocessing and postprocessing steps, the agent categorizes the user’s input. To explore how AI agents can transform your own support operations, refer to Automate tasks in your application using conversational agents. It contains information from car manuals and technical documentation.

DevOps 123
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details. How can I lower my car insurance rates?

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AI in commerce: Essential use cases for B2B and B2C

IBM Journey to AI blog

  In the context of this rapid advancement, generative AI and automation have the capacity to create more fundamentally relevant and contextually appropriate buying experiences. Traditional AI can enhance international purchasing by automating tasks such as currency conversions and tax calculations.

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Retrain ML models and automate batch predictions in Amazon SageMaker Canvas using updated datasets

AWS Machine Learning Blog

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. Automating this process provides efficiency, scalability, and timely decision-making.

ML 77
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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

To find the relationship between a numeric variable (like age or income) and a categorical variable (like gender or education level), we first assign numeric values to the categories in a way that allows them to best predict the numeric variable. Linear categorical to categorical correlation is not supported.

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Top Data Engineering Courses in 2024

Marktechpost

Data Engineering with AWS This course teaches data engineering with AWS, covering data modeling, cloud data warehouses, data lakes with Spark, and automating data pipelines with Airflow. Hands-on projects include database normalization, SQL automation, Python applications, and advanced data modeling.

ETL 112
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MARKLLM: An Open-Source Toolkit for LLM Watermarking

Unite.AI

The KGW Family modifies the logits produced by the LLM to create watermarked output by categorizing the vocabulary into a green list and a red list based on the preceding token. Automated Comprehensive Evaluation Evaluating an LLM watermarking algorithm is a complex task.

LLM 130