Hi All,
I have two solutions to my requirement (Email classification to predefined categories based on mail content).
1) AI Model - I used one of the custom models named "Classify texts into custom categories" available in AI models in power automate website. I can store training data in a dataverse table and use it to train the model to classify mails into different categories.
2) AI Prompt - I have created a good custom prompt using "Create text with GPT using a prompt" available under AI prompts section in power automate website.
Please let me know below details if you know any of them:
1) Does both approach consume same amount of credits? If not, how many credits are used for each characters. I want to analyse which is better in financial aspect.
2) Is there any safety concern in using custom prompt or custom model. Is the data passed to it protected?
3) In ChatGpt, I have seen that even if I give a prompt in a conversation to generate the required result in a specific way it works as required. But if I use that chat one week later to give an input, the output generated may not have followed the instructions I gave initially. Since Microsoft uses Open AI resources, does the "Create text with GPT using a prompt" prompt has a similar memory issue? Is there a chance the classification accuracy change over time?
