large language models – Andrew Fairless, Ph.D.

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Andrew Fairless, Ph.D.

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What I Read: Hidden Infinity, Preference Learning

By BylineAndrew Fairless on October 10, 2024July 14, 2024

https://www.cs.princeton.edu/~smalladi/blog/2024/07/09/dpo-infinity The Hidden Infinity in Preference LearningSadhika MalladiJuly 09 2024 “I demonstrate from first principles how offline preference learning algorithms (e.g., SimPO) can benefit from length normalization, especially when trainingContinue readingWhat I Read: Hidden Infinity, Preference Learning

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artificial intelligence attention Bayesian chatbot cognition computer vision database data engineering data science deployment DevOps economics efficiency embedding generalization generative GPU graph healthcare image interpretability large language model latency linear algebra machine learning medicine MLOps monitoring natural language processing neural network neuroscience optimization pipeline probability Python recurrent regression reinforcement learning scalability software engineering SQL statistics training transformer unit test

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