Behavior Trees Enable Structured Programming of Language Model Agents
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| Udgivet i: | arXiv.org (Apr 11, 2024), p. n/a |
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| Udgivet: |
Cornell University Library, arXiv.org
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| Fag: | |
| Online adgang: | Citation/Abstract Full text outside of ProQuest |
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|---|---|---|---|
| 001 | 3037661694 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3037661694 | ||
| 045 | 0 | |b d20240411 | |
| 100 | 1 | |a Kelley, Richard | |
| 245 | 1 | |a Behavior Trees Enable Structured Programming of Language Model Agents | |
| 260 | |b Cornell University Library, arXiv.org |c Apr 11, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Language models trained on internet-scale data sets have shown an impressive ability to solve problems in Natural Language Processing and Computer Vision. However, experience is showing that these models are frequently brittle in unexpected ways, and require significant scaffolding to ensure that they operate correctly in the larger systems that comprise "language-model agents." In this paper, we argue that behavior trees provide a unifying framework for combining language models with classical AI and traditional programming. We introduce Dendron, a Python library for programming language model agents using behavior trees. We demonstrate the approach embodied by Dendron in three case studies: building a chat agent, a camera-based infrastructure inspection agent for use on a mobile robot or vehicle, and an agent that has been built to satisfy safety constraints that it did not receive through instruction tuning or RLHF. | |
| 653 | |a Python | ||
| 653 | |a Structured programming | ||
| 653 | |a Computer vision | ||
| 653 | |a Natural language processing | ||
| 653 | |a Programming languages | ||
| 653 | |a Scaffolding | ||
| 773 | 0 | |t arXiv.org |g (Apr 11, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3037661694/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2404.07439 |