[R] Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

**Paper**: [https://arxiv.org/abs/2311.05657](https://arxiv.org/abs/2311.05657)

**Blog**: [https://allenai.github.io/lumos/](https://allenai.github.io/lumos/)

**Code**: [https://github.com/allenai/lumos](https://github.com/allenai/lumos)

**Models and data**: [https://huggingface.co/ai2lumos](https://huggingface.co/ai2lumos)

**Abstract**:

>We introduce **Lumos**, a novel framework for training language agents that employs a unified data format and a modular architecture based on open-source large language models (LLMs). Lumos consists of three distinct modules: planning, grounding, and execution. The planning module breaks down a task into a series of high-level, tool-agnostic subgoals, which are then made specific by the grounding module through a set of low-level actions. These actions are …

abstract agents architecture data data format format framework language language models large language large language models llms machinelearning modular modules novel planning series tool training unified data