[ilaksh]

I've been doing "full stack" for many years. Until the new GPT came out I thought that I needed to become an expert in ML and had taken some Coursera classes etc.

But now with the general purpose power of the ChatGPT API / OpenAI Embeddings, things like Stable Diffusion, and Eleven Labs, etc., and the expectation of new models coming out that have visual understanding integrated with the large language model, and quite possibly even more intelligence, I don't feel that ML is a good path for me. It makes more sense for me to just leverage the APIs to build applications.

I get the impression that optimized (multimodal) transformer models are going to be readily adaptable to most tasks and so its much less important going forward to do "real research" in order to get results.

As soon as the GPT3 API came out I started experimenting and moving towards launching https://aidev.codes. So now I have quite a bit of experience with prompt engineering for GPT, and a few other AI-related APIs. I am looking to raise money for marketing aidev.codes. If anyone wants to hire me, see the email in my profile.