Remove tag continuous-testing
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Is It Really That Important That I’m Wearing a Name Tag?

Steve DiGioia

It seems that no matter how many times you talk to him, he continues to “forget” to do what he’s told or at worst, intentionally refuses to do it. But even one who gives you a line like this; “ Is it really that important that I’m wearing my name tag? So, what do you do with an employee like this?

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

We tested the methodology using the Amazon D&C documents with a Mistral-7B model on SageMaker JumpStart. First think through your answer inside of tags, then assign a score between 0.0 Answer the score inside of tags. Also provide the reason to give this score inside of tags. means a completely match, score 0.0

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What Is Customer Sentiment Analysis — And Why Is It Important?

Playvox

Customers’ interest in using digital channels to communicate with brands continues to rise, making it increasingly important to have customer sentiment tools in place. The Importance of Proper Tagging in Sentiment Analysis. That’s where tagging support interactions comes in. Manual Sentiment Analysis vs AI.

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. Choose Test knowledge base. In the recently released feature for Knowledge Bases for Amazon Bedrock, hybrid search , you can combine semantic search with keyword search. Virginia) and US West (Oregon).

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How Synamedia uses Amazon Rekognition Video to build advanced video search capabilities for long-form video

AWS Machine Learning

It gave us ready-made access to best-in-class computer vision capabilities, which we could use to build and test innovative video search features in a matter of weeks.” – Avi Fruchter, Software Engineering Fellow at Synamedia. Using AI to index visual content. As a result, traditional video search performance is often limited.

Video 66
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Run inference at scale for OpenFold, a PyTorch-based protein folding ML model, using Amazon EKS

AWS Machine Learning

Using Python and PyTorch for implementation allows OpenFold to have access to a large array of ML modules and developers, thereby ensuring its continued improvement and optimization. Deploy OpenFold models as services and test the solution. For this reason, make sure tags of each protein are unique. Performance tests.

System 77
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Connecting Customers to Office Tech in the WFH Era

Centercode

Validating your product’s ability to connect to and communicate with other home-office devices requires thorough, constant testing (and iteration) across thousands of diverse use cases. Ensuring they continue to play nicely with the tech devices and software that customers will adopt in the future. Industry Challenges.