Media Summary: Abstract: When trying to gain better visibility into a machine learning model in order to understand and mitigate the associated ... The paper introduces a method called Eigenvalue-corrected Kronecker-Factored Approximate Curvature (EK-FAC) to scale ... In this lecture, we learn about the attention mechanism In particular, we look at 5 aspects: (1) Why we care about “attention” (2) ...
Roger Grosse Studying Llm Generalization Through Influence Functions - Detailed Analysis & Overview
Abstract: When trying to gain better visibility into a machine learning model in order to understand and mitigate the associated ... The paper introduces a method called Eigenvalue-corrected Kronecker-Factored Approximate Curvature (EK-FAC) to scale ... In this lecture, we learn about the attention mechanism In particular, we look at 5 aspects: (1) Why we care about “attention” (2) ... MIT 6.7960 Deep Learning, Fall 2024 Instructor: Phillip Isola View the complete course: ... In this video, we discuss the fundamentals of model quantization, the technique that allows us to run inference on massive LLMs ... In this AI Research Roundup episode, Alex discusses the paper: 'A Theory of
The quality of a machine learning model hinges on its ability to Models, Inference and Algorithms February 12, 2020 MIA Meeting: ... Abstract Numerous capability and safety techniques of Large Language Models (LLMs), including RLHF, automated red-teaming, ... And we discussed the topless correlation structure as well in in that lecture which is a In this video, I break down DeepSeek's Group Relative Policy Optimization (GRPO) from first principles, without assuming prior ...
