LLMs aren’t world models
yosefk.com·1d·
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Diffusion Language Models are Super Data Learners
jinjieni.notion.site·15h·
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Fundamentals of Probability
ocw.mit.edu·12h·
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Recent cross-research on LLM and RL on ArXiv
github.com·10h·
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Scaling Deep Learning Education in a College of Arts & Sciences
cacm.acm.org·3d·
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Conversations remotely detected from cell phone vibrations, researchers report
psu.edu·13h·
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Understanding reinforcement learning for model training from scratch
medium.com·9h·
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Programming languages and dimensions of units of measure
cl.cam.ac.uk·10h·
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Linux Meets AI: Top Machine Learning Frameworks You Need to Know
linuxjournal.com·16h·
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Using Topological Data Analysis and Sparse Autoencoders to Evaluate TruthfulQA
bluelightai.com·1d·
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Parametric Matrix Models
nature.com·3d·
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A personal take: LLMs are stuck, but local might win?
reddit.com·1d·
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Yet Another LLM Rant
overengineer.dev·1d·
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Achieving 10,000x training data reduction with high-fidelity labels
research.google·3d·
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Dense Associative Memory for Pattern Recognition (2016)
proceedings.neurips.cc·7h·
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Philosophy of Information
plato.stanford.edu·2d·
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Zero-to-Hero Deep Reinforcement Learning Course: Update with Advanced Topics
drlzh.ai·15h·
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Theft is not fair use
jskfellows.stanford.edu·37m·
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How Confident Are You, ChatGPT?
aylinakkus.github.io·1d·
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Seeing Like an LLM
blog.continua.ai·20h·
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