Director, Learning Design & Development| PMIAsheville, NC, United States
With Generative AI, iteratively refining and optimizing prompts can lead to better AI-generated results. This may involve adjusting the specificity or clarity of the prompt to increase relevance and accuracy of results.
What examples do you have of how improving a prompt drastically changed the output quality? What specific changes did you make that led to the improvement?
Great information and well presented! Saving Changes...
Anonymous
Avoids generic output, changes the specificity of the output to better align with my original expectations for the type of answer I was looking for. Also, have used it to change tone from casual to more business professional. Saving Changes...
Sarah ....Two days back i asked online free version of ChatGPT to provide me some quotes related to project management ,then i improved upon by asking project management quotes by unknown..it improved a lot to my satisfaction...that was what i really wanted and i was sure to improve more if i would have been more specific further. I think that is how we can iterate to improve on prompts to get the result we want from GenAI. Saving Changes...
Siddhartha ChatterjeeFounder| Reccy Adventures Private LimitedPune, Maharashtra, India
The iterative outputs are much more refined and helps in more accurate future prompting for similar requests. Saving Changes...
Paul AwosokanreProject Manager| Canada PostOttawa, Ontario, Canada
Making the request brief and concise will help in generation quality reports and results from GenAI Saving Changes...
Zimele CeleDirector Programmes| PIPP Project ConsultantJohanesburg, Gauteng, South Africa
It helps deliver the correct answer. Removes all the noise and talks to what you wanted, looking for. Saving Changes...
The importance of GenAI is rooted in its ability to automate creative tasks, enhance personalization, and solve complex challenges with innovative solutions. As we investigate the nuances of GenAI, it becomes apparent that its effectiveness hinges on the quality of interactions between humans and machines, especially through the practice of prompt engineering. Saving Changes...
Eka NasutionPM I| Providence Health CareToronto, Ontario, Canada
Breaking down the tasks into small chunks. After the GenAI provides outputs, review these outputs and refine them as necessary. Saving Changes...
JUAN CAMILO HERNANDEZ MAHECHAPM I| Federacion Nacional de Cultivadores de Palma (FEDEPALMA) - ColombiaBogota D.C., Cundinamarca, Colombia
From my perspective, it is crucial to clearly define objectives and desired outcomes. Furthermore, each prompt should be crafted with precise instructions to ensure the AI comprehends the context and the appropriate methodology required to deliver the expected results Saving Changes...
Considero que el uso de frameworks, como los mencionados por el colega Conte, es esencial. Además, es fundamental contar con un contexto claro y específico, tareas simples o individuales, y el formato requerido. A partir de ahí, mediante la iteración, se puede obtener la respuesta a tareas complejas.
I believe that the use of frameworks, such as those mentioned by my colleague Conte, is essential. Additionally, having a clear and specific context, simple or individual tasks, and the required format is fundamental. From there, through iteration, we can derive solutions to more complex tasks.
PMI Team Member
