Large Language Model (LLM) in the domain of Artificial Intelligence: Evidences and Challenges for the Biomedical Domain
Dr. Alessandro Maserati
Director in Logol
Politecnico di Milano
25.S.1 Room (Building 25, Emilio Massa)
Via U.B. Secondo, 3
October 6th, 2023
11.30 am
Contacts:
Pietro Cerveri
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Director in Logol
Politecnico di Milano
25.S.1 Room (Building 25, Emilio Massa)
Via U.B. Secondo, 3
October 6th, 2023
11.30 am
Contacts:
Pietro Cerveri
Research Line:
Technologies for diagnosis, therapy and rehabilitation
Sommario
On October 6th, 2023 at 11.30 am, in the framework of the Neuroengineering course, Dr. Alessandro Maserati will hold a seminar on "Large Language Model (LLM) in the domain of Artificial Intelligence: Evidences and Challenges for the Biomedical Domain" in 25.S.1 Room (Building 25).
What are LLMs and how do they work? Why do they appear to be so much more powerful than all previous AI engines? What are their limitations, and how can we maximize their usage? To address these questions and to prepare ourselves for a rapidly evolving and complete disrupted work environment, an overview of the main achieved results, the primary techniques employed, and the most astonishing applications in the field of Artificial Intelligence will be provided.
What are LLMs and how do they work? Why do they appear to be so much more powerful than all previous AI engines? What are their limitations, and how can we maximize their usage? To address these questions and to prepare ourselves for a rapidly evolving and complete disrupted work environment, an overview of the main achieved results, the primary techniques employed, and the most astonishing applications in the field of Artificial Intelligence will be provided.
Biografia
Mathematician, Strategic Consultant, and Innovator, Alessandro Maserati has cultivated a career at the intersection of cutting-edge technologies, academic research, and business strategy. After completing studies in pure mathematics, specifically Logic, at the Scuola Normale of Pisa, he gained strong experience in strategic consulting with the Boston Consulting Group. Transitioning into the realm of technological and business innovation, he has specialized in Artificial Intelligence. He has led projects that designed innovative solutions by leveraging existing AI models. He has also overseen business integration processes, paying particular attention to the impact on change management. Throughout his career, he has collaborated with leading university institutes and R&D departments of top-tier companies, further solidifying his expertise in the field.