Charles Packer
Charles Packer is a PhD candidate at UC Berkeley and part of the Berkeley AI Research Lab and Sky Computing Lab. His current research focus is on building agentic systems driven by large language models (LLMs). His recent work, MemGPT (https://arxiv.org/abs/2310.08560), proposes a novel “operating system for LLMs” that allows LLMs to manage their own memory and represents a promising new direction for maximizing the capabilities of LLMs within their fundamental limits.

Charles’s sessions

Charles will be contributing to these sessions at Data + AI Summit 2024: