Overview
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Explore the evolution of Natural Language Processing and its implications for advice and responsible investing in this 39-minute talk by Alik Sokolov from the University of Toronto. Delve into the growth of large language models, the progression of recurrent networks, and the development of language models. Examine concepts such as finetuning, pretraining, and bias variance, with a focus on OpenAI's GPT-3. Analyze the assumptions, alignment challenges, and potential consequences of AI, including overfitting and the emergence of AI advisors. Investigate representation learning and its significance in the field. Gain insights into the responsible use of AI in investment strategies and decision-making processes.
Syllabus
Intro
Growth in large language models is driven
Evolution of recurrent networks
Language models
Finetuning
Pretraining
Bias Variance
OpenAI GPT3
Assumptions
Alignment
Open AI
Consequences of AI
Overfitting
AI Advisors
Psychopaths
Representations
Representation Learning
Taught by
Fields Institute