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Survey Study on AI Agent Architectures (2024)

• 2genders37515 2y ago
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• abrichr 2y ago
  Not mentioned: learning from demonstration. This is the approach we are taking at https://github.com/OpenAdaptAI/OpenAdapt https://github.com/OpenAdaptAI/OpenAdapt.
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• rck 2y ago
  Not mentioned in the paper, but I have been experimenting with behavior trees for LLM agents, and have had a lot of success: https://richardkelley.io/dendron/tutorial_intro/ https://richardkelley.io/dendron/tutorial_intro/
  • muratsu 2y ago
    This looks very interesting, thanks for sharing.
  • billmalarky 2y ago
    Hi Richard I just reached out to you on LI. I'd love to get a chance to chat with you about your experience with this. Thank you for sharing this is fascinating.
  • gnat 2y ago
    That’s a very well-written tutorial! I wish more software came with something so friendly and informative. Thanks.
    • rck 2y ago
      Thank you!
  • temporarely 2y ago
    How is a behavior tree different from a decision tree? Is there a subtle difference I am missing? https://en.wikipedia.org/wiki/Decision_tree https://en.wikipedia.org/wiki/Decision_tree
    • sdesol 2y ago
      This talks about the distinction https://gamedev.stackexchange.com/questions/51693/difference-between-decision-trees-behavior-trees-for-game-ai https://gamedev.stackexchange.com/questions/51693/difference...
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• sgt101 2y ago
  I'll just draw folks attention to the long running AAMAS conference series. Of course, it's quite academic in nature, but it may be that some useful approaches could be picked up from this resource for LLM driven approaches. https://aamas2023.soton.ac.uk/ https://aamas2023.soton.ac.uk/
  • jrussino 2y ago
    In addition, here are a few other conferences that may be of interest to people in this thread: - AAAI: https://aaai.org/conference/aaai/ https://aaai.org/conference/aaai/ - ICAPS: https://icaps24.icaps-conference.org/ https://icaps24.icaps-conference.org/ - IJCAI: https://www.ijcai.org/ https://www.ijcai.org/
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• RamblingCTO 2y ago
  perfect timing! I'm just building myself an assistant via telegram and for now went with the multi-agent collaboration via supervisor pattern.
• irthomasthomas 2y ago
  "In the ever-evolving landscape of Natural Lan- guage Generation (NLG) evaluation, a noteworthy paradigm shift is underway as researchers increas- ingly turn their attention towards fine-tuning open- source language models (e.g., LLaMA), in lieu of traditional closed-based LLMs like ChatGPT and GPT-4. This transformative shift is propelled by a thorough exploration of key perspectives, including the expenses associated with API calls, the robust- ness of prompting, and the pivotal consideration of domain adaptability." This paper was written by an LLM. Probably Claude-3.
• Havoc 2y ago
  Finding it quite difficult to decide which platform to bet on. Autogen langchain and langgraph seem to be main contenders. And then people seem to custom roll them too