LLMs, Search Engines, and Reasoning by Analogy in ChatGPT
This research note observes that AI work is fundamentally experimental, and discusses technology assisted research, user purpose and search object in AI prompting, and distinctions between large language models and search engines.
This research note is part of a series on AI benchmarking and cross-pollinated methods.
Applying COSTAR to Daily Reporting in ChatGPT
This research note is part of an occasional series on AI benchmarking and cross-pollinated methods. The note addresses COSTAR prompting, working with different prompt configurations, modifying COSTAR to prioritise information targets, and the pitfalls of putting the horse before the cart.
RCT and 5P Prompt Configurations
This research note is part of an occasional series on AI benchmarking and cross-pollinated methods. The note addresses different prompt configurations for role-context-task (RCT prompting) and prime-persona-privacy-product-polish (5P prompting) tasks.
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