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But how much effort do you have to put in to build an agent that can play a specific game? Can you retarget that agent easily? How well will your agent deal wit
by Philpax 2y ago
But how much effort do you have to put in to build an agent that can play a specific game? Can you retarget that agent easily? How well will your agent deal with circumstances that it wasn't designed for?
- deadbabe 2y agoA lot less effort than training a massive LLM. Also, there’s no point in designing for use cases it will never encounter. A Pokémon rpg AI is never going to have to go play GTA.
- Philpax 2y agoA LLM can be reused for other use cases. Your agent can't.
- deadbabe 2y agoThe reusability is overrated. For every problem that isn’t natural language processing, there exists a far better solution that runs faster and more optimally than an LLM, at the expense of having to actually program the damn thing (for which you can use an LLM to help you anyway). Who can fight harder and better in a Pokémon battle, a programmed AI or an LLM? The programmed AI, because it has tactics and analysis built in. Even better, the AI’s difficulty can be scaled trivially where as an LLM you can tell it to “go easy” but it doesn’t actually know what that means? There’s no point in wasting time with an LLM for such an application.