Creating your own customizable GPTs with the program simulation prompt technique
November 8 @ 9:00 am - 10:00 am EST
We had the pleasure of hosting Giuseppe Scalamogna discussing his research on “Prompt Engineering Evolution: Defining the New Program Simulation Prompt Framework”, we are thrilled to welcome him back for another insightful session. His research delves into the captivating realm of prompt engineering, which offers many ingenious techniques to shape the responses of AI models like ChatGPT. From Chain-of-Thought (CoT), Instruction-Based, N-shot, Few-shot, to unconventional methods like Flattery/Role Assignment – each method is a source of inspiration for creating a library of prompts that cater to various requirements. Bearing in mind the rapid pace of innovation in prompt engineering, there’s a chance this method may already exist in some form.