[qolop]

If you are interested in on cutting edge research oriented work like development of models like GPT-3 and Stable Diffusion, then you should know that such opportunities are rare and limited to large FANG type companies. And you need to be super talented with a PhD from a top tier college.

The next group of ML practitioners are data scientists or ML engineers in smaller technology companies and startups. Their work involves applying advancements in these areas to improve their products or services. Very rarely do they do research oriented work. You could look into applying for such roles. An ML engineer role would be more suitable given your background. My advice would be to get your hands dirty and try to build a product on top of some ML model. It would give you some experience in model deployment and MLops type activities which companies often look for.

[affgrff2]

> My advice would be to get your hands dirty and try to build a product on top of some ML model

I second that. Grab Stable Diffusion and build something around it using your current experience. On the side I would suggest a structured training program as a Udacity Nano degree. Of course, you can do that on your own and for free, but having the structure and payed for it made it easier for me to stick to it.

[EVa5I7bHFq9mnYK]

GPT-3 and stable diff are just useless toys. Where the AI is practically applied nowadays, is police and government surveillance and new smart weapons. Go there if you want to make real impact.