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Losing Customers Trust is the Worst Penalty VW Will Face

Beyond Philosophy

Even worse, according to the BBC, a German newspaper reported that they were told by one of their engineers at a part supplier in 2011 that this emissions test was a problem. which accounts for only about 6% of global sales for the brand. Experts posit that these vehicles would emit 10 to 40% more than what shows up on the test.

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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Without # being able to consult the Knowledge Base, I cannot provide details on any # particular new Bedrock Agent features at this time. About the Authors Dheer Toprani is a System Development Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

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Guest Post: Reset Buyer Strategy to Drive Post-Pandemic Revival

ShepHyken

A study by McKinsey Consulting in April 2020 indicated that digitally-enabled sales interactions were at least twice more important during the pandemic than they were in the pre-COVID-19 era. Consider implementing result-oriented tactics like pay-per-click and account-based marketing for quick, effective and sustainable outcomes.

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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

Methods for achieving veracity and robustness in Amazon Bedrock applications There are several techniques that you can consider when using LLMs in your applications to maximize veracity and robustness: Prompt engineering – You can instruct that model to only engage in discussion about things that the model knows and not generate any new information.

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Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. Solution overview.

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Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

AWS Machine Learning

We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from. Speak to your Alation account representative for custom purchase options.