Practical AI for Instructors and Students Part 1: Introduction to AI for Teachers and Students
3 min read
6 months ago
Published on Apr 23, 2024
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Table of Contents
Step-by-Step Tutorial: Practical AI for Instructors and Students
Introduction to AI for Teachers and Students
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Understanding the Significance of AI in Education
- Malik, a professor at Wharton, and Wharton Interactive are passionate about democratizing access to education.
- The focus is on providing University of Pennsylvania-level education to everyone.
- The emergence of practical AI has been a game-changer in education.
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Exploring the Impact of AI in Classrooms
- AI is a general-purpose technology that is transforming teaching, learning, and work.
- AI models, particularly large language models, have revolutionized how we interact with technology.
- Large language models like ChatGPT, BERT, and others are proficient in various creative tasks, including generating content like text, art, video, and audio.
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Understanding How Large Language Models Work
- Large language models are based on predicting the next word or part of a word in a sentence.
- These models have ingested vast amounts of data from the internet to understand language patterns and word associations.
- They use this knowledge to predict and generate text in a way that mimics human language.
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Evolution of AI Models
- Large language models started gaining prominence in 2019-2020 but significantly improved with the release of ChatGPT in late 2022.
- ChatGPT and subsequent models like GPT-3.5 and GPT-4 have demonstrated exceptional capabilities in tasks like writing, coding, and even scoring well on standardized tests.
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Implications of AI in Education and Workforce
- AI is impacting various job roles, with higher-paying and more creative positions being affected the most.
- Teachers and instructors are also likely to be influenced by the rise of generative AI.
- The video emphasizes preparing students for a future where AI plays a significant role in learning and work environments.
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Addressing Concerns and Ethical Considerations
- AI models trained on vast datasets from the internet may exhibit biases and reproduce copyrighted material.
- Ethical considerations include issues like plagiarism, human effort replacement, and the ethical use of AI in educational settings.
- Questions about the societal implications of AI and its role in decision-making processes are raised, urging a balanced approach to AI integration.
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Future of AI in Education
- The video series aims to delve deeper into large language models, providing insights on how to interact with AI as a teacher and a student to enhance learning experiences.
By following these steps, you can gain a better understanding of practical AI and its implications for both instructors and students in educational settings.