I actually asked my locally running LLM(s) to rework my resume and specifically to add in any common skills or tools for the roles that I didn’t have listed (8 years as a generalist you touch a LOT of stuff, and I hadn’t remembered quite a few of them), and removed any that weren’t applicable.
I’ve been getting a decent number of interviews (3 this week, 2 last).
One would hope a network engineer knows how to configure routers, but if you just say Cisco, the AI won’t give it as much weight as when you say both
Honestly this isn’t just an AI issue, this is also a recruiter issue. The hiring manager gives a role description and a list of skills or other keywords for the posting, but the recruiter doesn’t know what half of them are. An actual human may not know that “Cisco” + “network engineer” = configured routers. Hell, I’ve had people ask me if Cisco (who I actually did work for, but not as a network engineer) is the food company, thinking of Sysco.
That’s not diminishing returns in terms of time and speed, which is CanadaPlus’ point. 100km/h faster is 100km/h faster, not 100% increase each time. The time reduction is perfectly in line with the added speed, so for 100 kilometers of distance:
100km/h = 1hr -> 200km/h = 1/2hr -> 300km/h = 1/3hr -> 400km/h = 1/4hr
It would be diminishing returns if doubling the speed each time didn’t halve the travel time, but “diminishing input = diminishing output”, or 100% -> 50% -> 25%, etc, is not diminishing returns, that’s linear.
The first time they added/input twice as much speed. The second time they didn’t.
An actual example of diminishing returns would be the cost to speed ratio, where doubling the budget each time will not result in a doubled speed, e.g.
$10m = 100km/h -> $20m = 200km/h -> $40m = 325km/h -> $80m = 525km/h