4 ms·
So far I only tried it with a single LLM in the dungeon master role. Your approach sounds promising (and I will definitly try it) but also a bit like a complica
by katzenversteher 3mo ago
So far I only tried it with a single LLM in the dungeon master role. Your approach sounds promising (and I will definitly try it) but also a bit like a complicated workaround. What I mean: In games with humans the dungeon master is usually one person, not a whole council ;)
- deleted 3mo ago[deleted]
- cortesoft 3mo agoThe magic of computers is that a complicated workaround can become modularized functionality very easiily.
- pylotlight 3mo agoThe cost there is multiple rounds of review tokens making it both slow and expensive.
- 9fry 3mo agoMan-computer symbiosis is the void: mechanically extended man or AI. Distilling LLMs are a reversal of that.
- fc417fc802 3mo agoThere are many models that are neither slow nor expensive that are suitable for targeted review tasks.
- pitched 3mo agoThese things are still very far from human-level intelligence. Maybe a touch beyond a golden retriever in processing power. Ratcheting the intelligence up a notch from there is expensive. It’s a lot cheaper to simplify the problem it’s solving instead.
- fc417fc802 3mo agoBut any competent human is also playing multiple roles mentally, mentally asking an entire series of questions about any new information. Discreet rounds of review emulate that. Write down the human process as a flow chart and then each interior node in the chart becomes a discreet review step with its own prompt.