Our LLM perspective is now published open access in ES&T

Our perspective, Putting Large Language Models into Environmental Context, is now published open access in Environmental Science & Technology.

We outline three connected capabilities: interpreting environmental data, grounding answers in traceable evidence, and using tools such as code and models. Evaluation, physical constraints and human oversight are essential throughout. The aim is to make AI useful for environmental research and practice, with its limitations understood.

Read the open-access article and let us know what you think!