I've been PE at FAANG/MAMAA for about 15 years now. So. Hi.
I think if you are solely positioning your thesis around LLMs, then I think it's precarious. My personal ROI as an Engineer is insane. I'm far more productive by all measures. If you're a desk-worker and haven't figured out how to augment your productivity with an LLM, you're going to be left behind.
Other baked ML algos trained faster on discrete datasets already has multiple ROI positive applications, and has for years. Cataloging, CV, predictive analytics, speech recognition, NLP, etc. etc. I can't imagine you've not seen this if you truly are in big data?
I've been PE at FAANG/MAMAA for about 15 years now. So. Hi.
I think if you are solely positioning your thesis around LLMs, then I think it's precarious. My personal ROI as an Engineer is insane. I'm far more productive by all measures. If you're a desk-worker and haven't figured out how to augment your productivity with an LLM, you're going to be left behind.
Other baked ML algos trained faster on discrete datasets already has multiple ROI positive applications, and has for years. Cataloging, CV, predictive analytics, speech recognition, NLP, etc. etc. I can't imagine you've not seen this if you truly are in big data?