Row 49985

Row ID: 49985 | Dataset Entry | Axioma AXP Content Repository

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Hey, I’ve got a project where I experimented heavily with AI agents, i discovered many of the points you laid out here as well. Many of my teammates kept pushing me (note they had no real experience in ML) to switch to a multi agent frame work, thinking it would work much better.

If you’re interested I could relay my experience with multi agents here. I can see some people arguing around what the line is between a true multi agent system. I think it’s an interesting talking point.

Personally I found that in most situations (maybe all but who knows) a “monolithic” agent is better than a multi agent setup. Many small fast agents is not = one large. Emergent behaviors imbue large agents with capabilities that make them far more efficient (on highly complex tasks) over smaller ones. This is especially noticeable on very complex problems

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text Hey, I’ve got a project where I experimented heavily with AI agents, i discovered many of the points you laid out here as well. Many of my teammates kept pushing me (note they had no real experience in ML) to switch to a multi agent frame work, thinking it would work much better. If you’re interested I could relay my experience with multi agents here. I can see some people arguing around what the line is between a true multi agent system. I think it’s an interesting talking point. Personally…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-22
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{
  "text": "Hey, I’ve got a project where I experimented heavily with AI agents, i discovered many of the points you laid out here as well. Many of my teammates kept pushing me (note they had no real experience in ML) to switch to a multi agent frame work, thinking it would work much better. \n\nIf you’re interested I could relay my experience with multi agents here. I can see some people arguing around what the line is between a true multi agent system. I think it’s an interesting talking point. \n\nPersonally I found that in most situations (maybe all but who knows) a “monolithic” agent is better than a multi agent setup. Many small fast agents is not = one large. Emergent behaviors imbue large agents with capabilities that make them far more efficient (on highly complex tasks) over smaller ones. This is especially noticeable on very complex problems",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-22",
  "username_encoded": "Z0FBQUFBQm5Lak1TUG9jZ2R1blY0ejZxaVpyZWtWeURDWWE4RzlzQzFKZ1EwdzRiSGg0WEdacUZmbko0SXotQl9IRWNfMWFQQVFZZ3FNNFU1UEZlaTFQMXBDVGdhekVhNHRGUm5NX3dtRVUtcFA1RkQzWU94aVE9",
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}
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