ChatGPT Prompt Engineering with In-Context Learning - 7 Examples
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Overview
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Learn advanced prompt engineering techniques for ChatGPT through a 13-minute tutorial focused on innovation theory and in-context learning (ICL). Master zero-shot prompting by defining topics, audiences, styles, and goals while exploring special challenges within ChatGPT's free version. Discover how to create effective response templates and engage with adversarial prompts, including the Reverse Turing Test to optimize AI outputs. Explore a practical application analyzing OpenAI's potential disruption of BING Chat and Microsoft's integration strategies, using Clayton Christensen's innovation theory to develop strategic action items. Gain hands-on experience with professional-grade prompting techniques that enhance AI interactions and drive innovative solutions.
Syllabus
ChatGPT Prompt Engineering w/ in-context learning (ICL) - 7 Examples | Tutorial
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