(Originally Posted October 5th 2023)
It appears like ‘Generative A.I.’ is able to accomplish many tasks at a quicker return rate than it would take an average person to accomplish just one but there are some things that ‘Generative A.I.’ falters at. ‘Generative A.I.’s can indeed speed up much of the monotony of work and fast track a lot of the mundane tasks but it will usually excel at what is being given and learn how to do it better, if it is given another task that is supposed to be outlined differently then it is more likely to make a mistake because what it has learned previously might not correlate with the new tasks.
When a person is hired for a job they sometimes have to do more things than their job describes but are usually able to accomplish the add-ons due to understanding there is a different approach to the additional task. The ‘Generative A.I.’ can be assigned roles that specify the knowledge it pulls from its database or ‘trained’ by an explanation of each task to understand the different types of work it is expected to do and given examples to understand when a ‘prompter’ requires it to do that different task.
The ‘Prompter’ having knowledge of how each of these tasks is supposed to work can ensure that any mistakes the ‘Generative A.I.’ will make can be easily found and corrected. Advocates in the ‘Generative A.I.’ space often say ‘Technology may get rid of jobs but it also creates new jobs’. So learning about ‘Generative A.I.’ may give new ideas on the ‘new jobs’ that will be created from this technology.
Helpful Advice:
– See if ‘Generative A.I.’ can be used in current professions and how it could be utilized
– Figure out which aspects of ‘Generative A.I.’ will need fine-tuning
– Even if there is no interest in ‘Generative A.I.’ it may be beneficial to at least understand the basics of it