MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning - Summary
Blog post from Portkey
MRKL, pronounced "miracle," is a neuro-symbolic architecture designed to address the limitations of large language models by integrating neural modules, such as large language models and smaller specialized models, with symbolic modules like calculators, databases, and APIs. A routing mechanism directs inputs to the most suitable modules, thereby enhancing the system's capabilities. The Modular Reasoning, Knowledge, and Language (MRKL) system aims to overcome the deficiencies of traditional language models, such as their lack of access to current information and reasoning abilities, by offering safe fallback, robust extensibility, improved interpretability, and the ability to access proprietary information. This approach allows for the composition of multiple modules to handle complex tasks efficiently. Implemented by AI21 Labs as Jurassic-X, the MRKL system provides benefits such as access to up-to-date information, modular extensibility without the need for retraining, and module-specific explanations, thereby improving both interpretability and performance versatility.
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