Depends on your definition of winning - special-purpose tuning is vastly more cost effective since it allows you to train a smaller model that can perform speci

Depends on your definition of winning - special-purpose tuning is vastly more cost effective since it allows you to train a smaller model that can perform specific tasks as good as a bigger one. A good analogy is building a webapp - would you prefer to hire a developer with 30+ years experience in various CS domains as well as a PhD or a specialized webdev with 5 years experience at a tenth of the rate?