From `resume_evaluation_system_message.jinja`

> *SCORES MUST NEVER DEPEND ON THE FOLLOWING FACTORS:*

> - College, university, or educational institution name

> - CGPA, GPA, or academic grades

I don't understand why they would omit these factors from the evaluation.

I don't understand why they'd hand over those data points over to the model in the first place. If it's in the context window, it's impacting the output. To ensure that no weight is placed on those factors, they should be sanitizing them out before handing the data over to the model.

> I don't understand why they would omit these factors from the evaluation.

Only hiring MIT graduates sounds great to a lot of tech folks! Automatically rejecting applicants from HBCUs, however, sounds like a lawsuit

As to GPA thing, I think it's just to stop the LLM glomming onto an obvious numerical grade? LLMs like to rank things by obvious dimensions, and whether someone had a 4.0 or a 3.8 in grad school makes very little difference to their performance 10 years down the line.

Hopefully so that people like me, that dropped out of high school yet have had a successful career as a self-taught engineer, have a chance. [1]

Just kidding, my resumes are sent to /dev/null like everybody else’s.

——

1: In fact, I will be controversial and say that self-taught engineers tend to be the strongest in their own particular niche, because they are powered by sheer desire to learn and improve. I am routinely appalled by how many people go on forums to ask how to learn a new thing, completely unable to self-direct their learning. I blame the modern school system.