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Alida gains deeper understanding of customer feedback with Amazon Bedrock

AWS Machine Learning

Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Open-ended survey questions allow responders to provide context and unanticipated feedback. This post is co-written with Sherwin Chu from Alida.

Feedback 131
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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training.

APIs 98
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). They’re illustrated in the following figure.

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How will the economic downturn affect Customer Success? Learn from three SaaS CEOs.

ChurnZero

Discover the lessons these three SaaS CEOs have learned from leading customer-centric businesses through an economic slump, and how you can apply them. A SaaS business’s greatest source of intel is direct customer feedback. They are best positioned to find, synthesize, and contextualize feedback.

SaaS 98
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OneShot.ai Launches Execution OS: The Antidote to Digital Workers

CSM Magazine

announced the public release of its Execution OSa GTM (go-to-market) operating system that blends multi-agent AI, on-demand GTM specialists, and a real-time Analysis Engine to execute go-to-market strategy with zero internal lift. But true execution needs a feedback loop,” said Peda Venki Pola, Co-founder and CTO. Today, OneShot.ai

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Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

AWS Machine Learning

Scenario 5: Update facing insufficient capacity In scenarios where there isnt enough GPU capacity, SageMaker AI provides clear feedback about capacity constraints. Andrew Smith is a Cloud Support Engineer in the SageMaker, Vision & Other team at AWS, based in Sydney, Australia. Consider if you have an endpoint running on 30 ml.g6e.16xlarge

APIs 106