The Stanford OVAL

Knowledge Center

We build LLM-Augmented Cognition Systems (LLM-CSys) that combine the expressive language skills of LLMs with the interpretability and reliability of software systems. We connect LLMs with databases, compilers, and executive functions to create assistants that are more trustworthy and helpful.

Learn More About OVAL

ABOUT OUR WORK

Standalone LLMs are like the speech centers in our brains. They rely on the prefrontal cortex for executive functions (attention, long-term planning) to communicate effectively.

- Professor Monica Lam

RECENT TALK

"Controlling and Grounding Large Language Models for Conversational Assistants"

Generative AI and Foundation Models Workshop, Stanford Computer Forum, April 12, 2023


We invite students, researchers, and corporations to join us to advance the state of the art in conversational agents research and to apply the technology to real-world use cases.

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Acknowledgement

OVAL is supported by the National Science Foundation under Grant No. 1900638, the Alfred P. Sloan Foundation under Grant No. G-2020-13938, Microsoft, and the Verdant Foundation. We also want to thank our partners Alpha Vantage, Baidu, Picovoice, and Yelp for their support.