Best use cases: Chemistry

ChatGPT can be trained on large datasets of chemical structures and properties to predict the properties of new molecules. This can be useful in drug discovery, materials science, and other areas of research.

ChatGPT can be trained on reaction databases to recommend reactions for a given starting material. This can help chemists design new synthetic routes and optimize existing ones.

ChatGPT can be trained on databases of chemical names and structures to identify unknown compounds from their names or structures. This can be useful in chemical analysis and quality control.

ChatGPT can be trained on molecular design principles to generate novel molecules with specific properties. This can be useful in drug discovery, materials science, and other areas of research.

ChatGPT can be trained on educational resources in chemistry to provide students with on-demand help and tutoring.

ChatGPT can be trained on safety protocols and compliance regulations to help chemists ensure that their work is safe and compliant with regulations.

ChatGPT can be trained on laboratory automation techniques to assist in designing and implementing automated laboratory workflows.

ChatGPT can be trained on drug discovery-related topics, such as molecular docking, drug design, and virtual screening, to assist in the drug discovery process.