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AgentVerse is designed to facilitate deployment of multiple LLM-based agents in various applications. It provides two frameworks: task-solving, which assembles multiple agents as an automatic multi-agent system to collaboratively accomplish tasks, and simulation, which lets users set up custom environments to observe or interact with multiple agents.
QSMM is a framework for learning finite automatons that perform goal-directed interaction with entities exhibiting deterministic or stochastic behavior. It implements the rudiments of a toolchain for working with probabilistic assembler programs, and development focus shifted to adaptive parsing and learning context-free grammars by template. It includes atd-parser and abu-parser tools.
