Digital Module 40: Introduction to Machine Learning and Generative AI: From AutoGluon to Amazon Bedrock

IF 2.2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Ye Ma, Vinita Talreja
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引用次数: 0

Abstract

Machine learning (ML) and generative artificial intelligence (AI) are rapidly transforming the field of educational measurement. This module focuses on illustrating the process of (1) automated machine learning (AutoML) using AutoGluon via an application of detecting aberrant test behavior and (2) AI-based item generation using Amazon Bedrock. To support these demonstrations, two tools are used: AutoGluon, an open-source automated machine learning (AutoML) system, and Amazon Bedrock, a fully managed AWS service for accessing foundation models from leading AI providers. By the end of this module, participants will (1) understand the key concepts and fundamentals underlying these two applications and (2) be able to programmatically train a classification ML model via AutoML using the provided data, as well as conduct AI-based item generation via the LLMs.

数字模块40:介绍机器学习和生成人工智能:从AutoGluon到亚马逊基岩
机器学习(ML)和生成式人工智能(AI)正在迅速改变教育测量领域。本模块着重说明(1)自动化机器学习(AutoML)使用AutoGluon通过检测异常测试行为的应用程序和(2)基于人工智能的项目生成使用亚马逊基岩的过程。为了支持这些演示,使用了两个工具:AutoGluon,一个开源的自动机器学习(AutoML)系统,以及Amazon Bedrock,一个完全托管的AWS服务,用于访问来自领先人工智能提供商的基础模型。在本模块结束时,参与者将(1)了解这两个应用程序背后的关键概念和基础知识,(2)能够使用提供的数据通过AutoML以编程方式训练分类ML模型,以及通过llm进行基于ai的项目生成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
15.00%
发文量
47
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