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by wokwokwok
975 days ago
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> a single inference is limited by context length, Yes. > multiple agents model is able to process more context at each steps of the reasoning chain What? How can a multi agent model have more context at a single step? The single step runs on a single agent. It would literally the same as a single agent? The multi agent approach is simply packaging up different “personas” for single steps; and yes, it is entirely reasonable to assume that given N configurations for an agent (different props, different temp, different models even) you would see emergent behaviour that a single agent wouldn’t. For example, you might have a “creative agent” to scaffold something and a “conservative” agent to fix syntax errors. …but what are you talking about with different context sizes? I think you’re mixing domain terms; context is the input to an LLM. I don’t know what you’re referring to, but multi agent setups make absolutely no difference to the context size. |
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By analogy: no agent can summarize War and Peace, but several agents can, Peace-wise (sorry). Like AI map reduce. The question is thus "why not use one agent for this recursive merger?" Answers maybe being:
1. Different scholars (Russian lit. agents, ...war strategists?, etc) pay attention to different things with valuable insights
2. Multiple readers parallelize well, and some are faster than others
3. Managers can direct talent to (re)read chapters most relevant to their specialties, and coordinate meta-learning and communication
You might not get much mileage out of this approach with book summaries, but other domains are a different story (sorry).