Emergence and Reasoning in Large Language Models
Center for Language & Speech Processing(CLSP), JHU via YouTube
Learn Generative AI, Prompt Engineering, and LLMs for Free
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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