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Emergence and Reasoning in Large Language Models

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Reasoning Courses Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Few-shot Learning Courses Scaling Laws Courses In-context Learning Courses

Course Description

Overview

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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

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