Very simple example prompt, assuming prior extraction of text form PDFs:
You will receive a resume of a person in the format of extracted text.
You need to transform this resume into a format called 'Story' that eliminates the chance of a decision based on certain factors. The factors to be eliminated will be described below.
Additionally, the 'Story' needs to be in a human readable format describing S.M.A.R.T goals that apply for this person.
A 'Story' should also contain around 1000 words as an introduction to the person so that a recruiter can quickly gain an overview of a persons experience, skills.
Now I will give you factors that should not be identifyable in the story to make discrimination impossible. These factors are:
- race
- sex
- gender
- sexual orientation
- health
- attractivity
The resume in the form of extracted text from a pdf, follows below:
--- an additional 700 Tokens, from extracted text from a sample resume pdf ---
Total tokens: Around 850
Token number depends on the number of words desired in the response. We assume a story should contain around 400 Words, leading to around 1400 response tokens.
With the latest model, GPT-4o, the cost would be at minimum: 0.025 $ / prompt & answer. With the older, cheapest, model GPT-4o mini, the cost would be at minimum 0.001 $ / prompt & answer.
Leading to assumption: A24