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Charles Packer on MemGPT

1 点作者 CShorten超过 1 年前
Hey everyone! I am SUPER excited to publish our 73rd Weaviate Podcast with Charles Packer from UC Berkeley, the lead author of MemGPT!!<p>MemGPT is the Operating System for LLMs! This is one of the most exciting recent ideas in Large Language Model Applications that draws connections between Virtual Context Management in Operating Systems and the limited context windows of LLMs! One of the key ideas in MemGPT is to explicitly prompt the model that it has a limited token window and give it tools to self-edit its own context!!<p>This was such a fun discussion covering all things from the origin of the research, connections between operating systems and LLMs, details of the paper such as inference cost, explicit context annotation, recall and archival storage, and many more!<p>We also concluded the podcast with discussions around Creativity in AI and what directions from Multi-Agent Role Playing or Evolutionary methods will achieve truly creative, novel outputs from Generative AI systems!<p>I hope you enjoy the podcast! As always, more than happy to answer any questions or discuss any ideas about the content in the podcast!<p>https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=rxjsbUiuOFo

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