apex™

Document Type

Abstract

Publication Date

Fall 12-1-2024

Abstract

apex™ is a system that enables LLM-powered agents to act as the primary interface between the user and system, enabling advanced AI collaboration for any task. It represents a new way to interact with one’s PC; simply engage in a conversation as one would a colleague and get work done. Actions will be performed automatically to accomplish tasks a user collaboratively specifies alongside the tool. It also connects to a hosted memory of prior experiences, which allows apex™ to learn from previous experiences. In a way, apex™ gives LLMs a ‘body’ in the form of the machine the software is running on. apex™ utilizes a combination of cutting-edge techniques, including Tree of Thought, RAG, dynamic vector-store memory, multi-agent collaboration, and most importantly, a tool-free architecture, to deliver an experience designed for robust performance in the long term. This architecture is built for the future. It is not constrained by fixed tools, and leverages LLM-powered soft reasoning wherever possible. This means that while it may stumble a bit now, as the experience pool grows, the codebase matures, and LLMs become more powerful, this tool will become increasingly generally capable.

Comments

Completed as part of the Computer Science Senior Capstone Project.

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