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Top 50 Student Survey Questions For Enhanced Student Experience

SurveySparrow

I have curated a list of questions that you can use. Let’s look at some of the reasons that top the list: Captures Student Perspectives Student survey questions provide a direct channel for students to express their thoughts, concerns, and experiences in the educational environment. That’s simple. Consistency is key!

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Intelligent document processing with AWS AI services in the insurance industry: Part 1

AWS Machine Learning

Amazon Comprehend can detect entities such as person, location, date, quantity, and more. It can also detect the dominant language, personally identifiable information (PII) information, and classify documents into their relevant class. Intelligent document processing with AWS AI and Analytics services in the insurance industry.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. In this post, we elucidate the simple yet powerful idea of combining user profiles and item attributes to generate personalized content recommendations using LLMs.

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Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart

AWS Machine Learning

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Customers expect quick and efficient service from businesses in today’s fast-paced world.

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Intelligent document processing with AWS AI services: Part 1

AWS Machine Learning

Intelligent document processing (IDP) with AWS artificial intelligence (AI) services helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. In this post, we discuss the first three phases of the IDP workflow. Solution overview.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

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Run image segmentation with Amazon SageMaker JumpStart

AWS Machine Learning

Semantic segmentation delineates each class of objects appearing in an input image. It tags (classifies) each pixel of the input image with a class label from a predefined set of classes. Multiple objects of the same class are mapped to the same mask. Introduction to JumpStart – Semantic Segmentation. JumpStart overview.