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Investigación química autónoma con grandes modelos de lenguaje

Daniil A Boiko¹, Robert MacKnight¹, Ben Kline²

¹Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.

|December 20, 2023

Resumen

Coscientist, un sistema de IA, diseña y ejecuta experimentos complejos de forma autónoma utilizando GPT-4. Esta inteligencia artificial acelera la investigación en diversas tareas, demostrando capacidades avanzadas de diseño y ejecución experimentales.

Área de la Ciencia:

Inteligencia artificial
Química computacional
La robótica

Sus antecedentes:

Los modelos de lenguaje grande basados en transformadores (LLM) son prometedores en diversos campos científicos.
Los LLM se integran cada vez más en los flujos de trabajo científicos para el análisis y la predicción de datos.

Objetivo del estudio:

Desarrollar y demostrar Coscientist, un sistema de IA para el diseño y ejecución experimental autónomo.
Mostrar las capacidades de la IA impulsada por LLM para acelerar la investigación científica.

Principales métodos:

Coscientist utiliza GPT-4, búsqueda en Internet, ejecución de código y automatización experimental.
El sistema se probó en seis tareas de investigación diversas, incluida la optimización de la reacción.

Principales resultados:

Coscientist optimizó con éxito las reacciones de acoplamiento cruzado catalizadas por paladio.
El sistema de IA demostró capacidades avanzadas en el diseño y ejecución experimental (semiautónomo).
El sistema mostró versatilidad y eficacia en múltiples dominios científicos.

Conclusiones:

Los sistemas de IA como Coscientist pueden acelerar significativamente el descubrimiento científico.
El sistema desarrollado pone de relieve el potencial de los LLM para la investigación autónoma.
Coscientist ofrece un enfoque versátil, eficaz y explicable para el avance de la investigación científica.

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