YoVDO

Large Language Models and Neural Methods in Autoformalisation - Challenges and Complementary Approaches

Offered By: Hausdorff Center for Mathematics via YouTube

Tags

Artificial Intelligence Courses Mathematical Proofs Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the role and challenges of large language models and neural methods in autoformalisation during this 43-minute conference talk moderated by Mateja Jamnik and Wenda Li. Gain insights into the potential complementary relationship between neural approaches and symbolic methods for parsing natural languages, with a focus on expert input in this field. Delve into the complexities of integrating artificial intelligence techniques in formal reasoning and mathematical proofs.

Syllabus

Workgroup - Moderation: Mateja Jamnik and Wenda Li


Taught by

Hausdorff Center for Mathematics

Related Courses

Introduction to Mathematical Thinking
Stanford University via Coursera
Paradox and Infinity
Massachusetts Institute of Technology via edX
Mathematical Logic and Algorithms Theory
Tomsk State University of Control Systems and Radioelectronics via iversity
Discrete Mathematics
Shanghai Jiao Tong University via Coursera
Introduction au raisonnement mathématique : préparation à l'entrée dans l'enseignement supérieur
École Polytechnique via France Université Numerique