The word "vacuum" implies that the dust you vacuum disappears from the floor.
But LLMs are a new interface to knowledge. They actually leave the dust where it but constructs a compact version of it that makes it accessible to more people.
RESEARCH
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LLMs as Knowledge Interface: Accessibility Over Deletion
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SSL Method for PDE Solving and System Identification
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A talk about SSL for PDE solving and identification by @garridoq_ as a preview of our upcoming NeurIPS paper.
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VICReg-style SSL for PDE identification and solving
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VICReg-style SSL for PDE identification and solving.
At NeurIPS 2023. -
Stanford AI Health Conference Addresses Future of Medicine
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Join the conversation at the crossroads of healthcare and AI on December 6-7! The #StanfordAIHealth conference will address the crucial issues shaping the future of medicine. Learn more about the agenda here: @StanfordCME @StanfordAIMI https://
stanford.io/3Gkumb6 -
Advanced RAG Techniques with XML Knowledge Graphs Achieve 3x Improvement
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Nearly 3x improvement by using advanced RAG techniques (XML knowledge graph) Excited to highlight this more over the next few days
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Latest Data Science Techniques and Machine Learning Tips Discussion
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Join us for the latest techniques + tips you need on your data science journey. Join the discussion on Dec. 12 at 11 a.m. ET. http://
2.sas.com/6010utjX4 #DataScientists #MachineLearning -
Hoffman-Yee Grants Fund AI Research in Foundation Models and Healthcare
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New Hoffman-Yee Grants support AI research in foundation models, health care algorithms, social values in social media, and improved chip technology.
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PhD in AI: A Journey Worth Taking
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Let me be clear; my PhD in AI was an important chapter, and I truly believe it's worthwhile for many people, but my story might resonate with your inner debates and, hopefully, answer questions you have… cc.
@nico16184 -
Why I Quit My PhD in Artificial Intelligence
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Why I Stopped My PhD in AI Is a thesis the right path for you? Here's why I decided to stop… https://
youtu.be/OIpIicrjUtQ -
DeepMind Discovers 2.2 Million New Materials With GNoME
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“Today, in a paper published in Nature, we share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME).”
@GoogleDeepMind
https://
deepmind.google/discover/blog/
millions-of-new-materials-discovered-with-deep-learning/
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