This unit covers basic AI vocabulary in ESL English, including: token, LLM, neural network, and more. It also includes a humerous dialogue about implementing AI in the workplace.
Now Studying: Artificial Intelligence
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Core Training Activities
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Multiple Choice Activity
Select the best match between unit terms and their definitions.
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Listening Comprehension Activity
Listen to short audio clips in English and then spell them correctly.
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Spelling and Recognition
Identify and spell a vocabulary term correctly given only the definition.
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Vocabulary Builder Activity
Students will learn the following key terms and phrases:
Ambiguous
Automation
Bias
Consistent
Curated
Deep learning
Distorted
Efficiency
Fine-tuning
Generative Pre-trained Transformer
Hallucination
Inference
Intervention
Large language model
Machine learning
Natural language processing
Neural network
Plausible
Prompt
Reliable
Robust
Sentiment
Structured
Token
Improve your reading comprehension and vocabulary in context with our interactive reader.
Dialogue: Implementing AI in the Workplace
SCENE: Two overseas business colleagues are in a Zoom call to discuss how to increase efficiency for common business tasks. The dialogue concerns Rachel, a British IT manager from London, and Alexander, an American software engineer from Rochester, New York.
Rachel:
Good morning Alexander, and thanks for agreeing to…
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Reading Comprehension Quiz
Test your understanding of the reading material with a quick comprehension quiz.
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Speaking Practice Activity
Master your pronunciation by recording yourself and receiving feedback from native-speaking teachers.
US
UK
Many industries increasingly rely on AI-driven automation to increase efficiency and reduce costs.
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UK
The instructions were so ambiguous that the team members all interpreted the task in different ways.
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UK
The marketing team analyzed customer sentiment to understand how users felt about the new product.
... and more sentences to practice.
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Writing Practice Activity
Improve your writing skills with guided essay questions and professional correction.
- Describe your own experience using AI. What model did you use? What prompts did you use? What questions could the AI answer reliably? Do you feel it's plausible that AI will improve the world?
- Why does Alexander think automation is a good starting point for improving efficiency? What risks does Rachel mention about using AI in finance and marketing? How do Rachel and Alexander suggest keeping AI use reliable and transparent?
