Emergence and Reasoning in Large Language Models
Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube
Course Description
Overview
Explore the fascinating world of large language models in this 52-minute lecture by Jason Wei from Google, presented as part of the CSCI 601.771: Self-supervised Statistical Models course at Johns Hopkins University. Delve into the concepts of emergence and reasoning capabilities exhibited by advanced AI systems. Gain insights into how these models develop complex behaviors and problem-solving abilities as they scale in size and complexity. Discover the implications of these emergent properties for the future of artificial intelligence and natural language processing.
Syllabus
Emergence and reasoning in large language models - Jason Wei (Google)
Taught by
Center for Language & Speech Processing(CLSP), JHU
Related Courses
Introduction To Mechanical Micro MachiningIndian Institute of Technology, Kharagpur via Swayam Biomaterials - Intro to Biomedical Engineering
Udemy OpenAI Whisper - Robust Speech Recognition via Large-Scale Weak Supervision
Aleksa Gordić - The AI Epiphany via YouTube Turbulence as Gibbs Statistics of Vortex Sheets - Alexander Migdal
Institute for Advanced Study via YouTube City Analytics - Professor Peter Grindrod CBE
Alan Turing Institute via YouTube