Jason Wei
Researcher who introduced chain-of-thought prompting
An AI researcher whose 2022 paper at Google introduced chain-of-thought prompting: asking a model to work through its reasoning step by step, which sharply improved its answers on multi-step problems.
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The Decreasing Value of Chain of Thought in Prompting
A June 2025 Wharton Generative AI Labs technical report by Lennart Meincke, Ethan Mollick, Lilach Mollick and Dan Shapiro. It tested "think step by step" prompting and found modest average gains with more variable answers for non-reasoning models, and only marginal gains for reasoning models despite 20–80% longer response times.
Why this: Covers chain of thought and prompting too
Anthropic AI Fluency: Framework Foundations
This free online course teaches a practical framework for using artificial intelligence tools effectively and responsibly. You can practice prompting techniques, learn how to evaluate AI results, and earn a certificate of completion.
Why this: Also about prompting
Google AI Essentials (Coursera)
About 10 hours of self-paced training on prompting, using AI tools at work, and responsible AI, with a free certificate.
Why this: Also about prompting
Finding the Optimal Human-AI Relationship — practice worksheet
A two-page printable worksheet from Pilyoung Kim, Ph.D. for setting deliberate terms with AI: comparing warm, sycophantic, and machine-like responses, setting your own tone dials, turning them into a reusable custom-instructions prompt, deciding what goes to AI versus a person, and guarding your judgment against flattery.
Why this: Also about prompting