Definitely would like something like this. Maybe SOTA benchmarks as well.

This is a great answer. The simplest approach is often the best in practice.

100% agree with you. I actually came from the startup space and am quite comfortable there, but I’ve been going for larger corporations because I want to make sure I hit a standard that can assess my abilities on the market today.

I didn’t mean to come off as either whiny or as a victim of the interview process. I was just acknowledging that there is a roadblock in doing what I know is needed, but I also know that’s 100% on me. I know it’ll get better with time as well as it’s a growth period for me, which is moving outside of a comfort zone and enduring some painful experiences- but these are the good pains associated with growth.

I appreciate your advice, though. My mentor gives me the same talk, so at least I know I’m in good company (he’s just insanely brilliant, so I’m lucky to have him helping me along as well).

I get that. I have trouble approaching a company with that mindset, though. Often I’ll I end up taking whatever they give without any pushback because I am too worried about coming off negatively and hurting my chances during the interview.

I’m sure a lot of this is anxiety/imposter syndrome from entering a new industry, but it’s hard to convince myself of that in the moment.

Any tips on what companies/startups we should be looking into? I’m new in the space and am still navigating the interview process.

Just out of curiosity, have you tried training a model on images to get text prompts? I can’t imagine this would be too difficult to try out.

This here. Always start of with a subset of the data when you’re moving things forward (unless it’s already small enough). For some NLP datasets, just 10% is sufficient for building and assessing initial models.