While chat is intuitive interface to start with. I think we'll see more integration of these NLP models in traditional tools, like we saw with Adobe Firefly and Unreal Engine. That way users retain the control for fine tuning and doing problem specific tasks, but also gain this superpower of doing many actions with few words.
Key thing for adoption is to make models smaller and more context specific (to make them smaller), we've seen how LLaMA was downsized to run on commodity PCs, we've seen how Stable Diffusion can run on mobile phones. Even when we have to use larger models remotely, cost and ownership matters.
Key thing for adoption is to make models smaller and more context specific (to make them smaller), we've seen how LLaMA was downsized to run on commodity PCs, we've seen how Stable Diffusion can run on mobile phones. Even when we have to use larger models remotely, cost and ownership matters.