ChatGPT is the go-to solution for prototyping. If chatGPT cannot solve it, the tech likely needs to arrive. However, to bring features into production, the market will be divided into specialized LLMs catering to specific verticals/use cases/budgets.
For AI, specialization will always beat generalization. If it doesn't for you, it means that you are in the stage where the Kaplan et al. (2020) data law effects still apply, and you have yet to reach the tipping point of ever-increasing saturation. To cross the tipping point, only a hyper-optimized feature space gets you out of the local extrema. Thus, eventually, feature-space optimization via specialization is the way to go.
Who best classifies and orchestrates hyper-optimized models will win the LLM wars. Ultimately, it's all about engineering, infrastructure and data strategies.
