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Huge language models (LMs) have ushered in a new era for AI, serving as agateway to natural-language-based knowledge tasks. Although an essentialelement of modern AI, LMs are also inherently limited in a number of ways. Wediscuss these limitations and how they can be avoided by adopting a systemsapproach. Conceptualizing the challenge as one that involves knowledge andreasoning in addition to linguistic processing, we define a flexiblearchitecture with multiple neural models, complemented by discrete knowledgeand reasoning modules. We describe this neuro-symbolic architecture, dubbed theModular Reasoning, Knowledge and Language (MRKL, pronounced "miracle") system,some of the technical challenges in implementing it, and Jurassic-X, AI21 Labs'MRKL system implementation.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning