A continuation session on 2023-10-25 with Giuseppe Scalamogna exploring a universal framework for prompt crafting in generative text models, building on his earlier talk 'Prompt Engineering Evolution: Defining the New Program Simulation Prompt Framework'. The talk covers integrating instruction-based and role-based prompting into a program-like sequence of tasks, and discusses techniques such as Chain-of-Thought (CoT), N-shot, Few-shot, and Flattery/Role Assignment to create a library of prompts and enable ChatGPT to function as a programmable system where outputs influence subsequent steps.
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