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[1hr Talk] Intro to Large Language Models
LLMs vs. Classical Algorithms: Can AI Agents Master Hyperparameter Optimization
Sublinear Algorithms
Linear MoE: Supercharging AI with Efficient Sequence Modeling
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
Scikit-LLM: Sklearn Meets Large Language Models
THIS is why large language models can understand the world
Feature learning, alignment and the linear representation hypothesis for steering & monitoring LLMs
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Last Updated: October 1, 2026
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Anshumali Shrivastava (Rice University) simons.berkeley.edu/talks/anshumali-shrivastava-rice-university-2024-06-18 ... A light intro to LLMs, chatbots, pretraining, and transformers. Dig deeper here: ... Learn in-demand Machine Learning skills now → ibm.biz/BdK65D Learn about watsonx → ibm.biz/BdvxRj In this episode of *SciPulse,* we dive into a rigorous study investigating whether This is a 1 hour general-audience introduction to Jelani Nelson Ninth Annual Industry Day. For more information about Stanford's Artificial Intelligence programs visit: stanford.io/ai This lecture provides a concise ... In this video, I will explain about scikit-llm which seamlessly integrates powerful 5 years ago, nobody would have guessed that scaling up LLMs would as successful as they are. This belief, in part, was due to ... Speaker: Mikhail Belkin, University of California, San Diego Date: September 2, 2026 Abstract: ...
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