Autonomous chemical research with large language models

The Nature article explores the advancements in large language models (LLMs) and their applications in various fields, including chemistry, biology, and coding. It discusses the development of models like LaMDA, LLaMA, and PaLM, and their role in predicting protein structures and text generation. The article also highlights the use of AI and robotics in organic synthesis and pharmaceutical production. Furthermore, it delves into the challenges and future prospects of LLMs in computational chemistry and code generation.
Read more at Nature…

Discover more from Emsi's feed

Subscribe now to keep reading and get access to the full archive.

Continue reading