Effective prompting examples include requesting specific compounds for research, emphasizing clear success criteria and constraints like budget limits.

They excel at processing incomplete information and can accurately interpret user intent, making them well-suited for analyzing unstructured data and complex documents.

OpenAI suggests beginning with a Zero Shot Prompt, which involves no examples, and only incorporating examples later if needed, to foster iterative reasoning until the task aligns with established criteria.

OpenAI has introduced new guidelines for utilizing its o-series models, highlighting the importance of straightforward instructions rather than complex prompting techniques.

These o-series models, known as 'the planners', are tailored for intricate tasks across various fields such as mathematics, engineering, law, and finance.

Users are advised against instructing the models to 'think step by step', as the o-series models possess inherent reasoning capabilities, rendering such prompts unnecessary.

Furthermore, OpenAI discourages the use of what they call 'boomer prompts', which are overly detailed or outdated prompting methods, advocating instead for high-level guidance to enhance model performance.