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I like to treat outputs from AI models as a foundation on which I build on. Ensuring that foundation is solid requires two important things:
1. Ensure that your prompts are specific, add details relevant to the case, and that you avoid being vague or not providing context. 2. Check the output; always proof the output to make sure it makes sense- even if it is cited. 
To ensure the results I receive are accurate, relevant, and aligned with my original goals, I read the output carefully and check the cited references.
The productivity of artificial intelligence may boost our workplaces, which will benefit people by enabling them to do more work. As the future of AI replaces tedious or dangerous tasks, the human workforce is liberated to focus on tasks for which they are more equipped, such as those requiring creativity and empathy.
a) use RTF method to prompt correctly so that the role is known , Tasks defined and Format is clear.
b) use CREATE method to prompt so that character is defined, request is proper, examples are in place, adjustment is tuned, types and evaluation are also prompted
Özgür ?ener
Ankara, 6, Türkiye
It is so gut to make with create formula to speficize the request to get better results.
Iterative and React are the best way to get what I want in most of the times.
Anonymous
It is important to be specific to the context. Also, one has to continuously iterate and refine to get the best possible output.
Jack Jenkins
Madeira, OH, USA
Results from prompt inputs must be carefully curated, moderated and iterated by the PM. Additional sanity checks by SMEs in some instances might be very useful.
Daniela Zuppichin
Director de Proyectos, Agile Trainer| SiPro360 Project Consulting
Ciudad Autonoma de Buenos Aires, Argentina
El desarrollo de sistemas de IA exitosos requiere la colaboración de equipos multidisciplinarios que incluyan científicos de datos, ingenieros de software, expertos en el dominio y otros profesionales. Esta colaboración garantiza que se aborden todos los aspectos del desarrollo y despliegue de la IA, desde la conceptualización hasta la implementación. Garantizar la precisión y relevancia de los resultados de un sistema de IA es un proceso complejo que requiere un enfoque integral. Al seguir las mejores prácticas, las organizaciones pueden aumentar la confianza en sus sistemas de IA y aprovechar al máximo su potencial. 
To ensure AI-generated results are accurate, relevant, and aligned with your goals, start by clearly defining your objectives. Craft precise and detailed prompts to guide the AI in providing focused responses. Review the results carefully and refine your prompts as needed to improve accuracy. Always cross-check AI outputs against reliable sources to validate their correctness, especially for critical tasks. Be aware of AI's limitations, as it can produce errors or biased outputs, so human oversight is essential. Lastly, document your inputs and outputs to maintain consistency and track improvements over time.
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