Large language models (LLMs) are beginning a new era of chemistry, where LLMs can connect and reason about experiments, tools, and databases to accomplish open-ended tasks in chemistry. This is creating both new opportunities in accelerating chemistry, but also increasing the challenge of interpretation of model outputs. Andrew White will summarize his recent work on applying LLMs to authentic chemical challenges, their ability to use tools, access scientific literature, and how we can force them to explain themselves.
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE鈥檚 mission to educate, inform and improve the practice of professional chemical engineering. The content reflects the views, opinions, and recommendations of the presenters. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact chemepermissions@aiche.org. Attendee contact information, including email addresses, will be shared with AIChE, with the option to unsubscribe from future communications.
Explore More Areas of Advancement
AIChE Practice+ provides learners with opportunities to work on real-world challenges through industry internships and competitions.
With AIChE Career Discovery庐, we'll help you to identify aptitudes and skills you鈥檒l need in order to achieve your full potential at various career stages.
AIChE Credential validates your proficiency with potential employers in areas such as process intensification, safety, sustainability and others.