Understanding reinforcement learning for model training from scratch
medium.com·9h·
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Scaling Interpretability
anthropic.com·20m·
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Recent cross-research on LLM and RL on ArXiv
github.com·10h·
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Logarithmic mean energy optimization a metaheuristic algorithm
nature.com·23h·
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Dense Associative Memory for Pattern Recognition (2016)
proceedings.neurips.cc·8h·
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Self-attention mechanism explained
jtlicardo.com·13h·
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Using Topological Data Analysis and Sparse Autoencoders to Evaluate TruthfulQA
bluelightai.com·1d·
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Programming languages and dimensions of units of measure
cl.cam.ac.uk·11h·
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From GPT-2 to gpt-oss: Analyzing the Architectural Advances
magazine.sebastianraschka.com·1d·
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Achieving 10,000x training data reduction with high-fidelity labels
research.google·3d·
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AI: Great Expectations
rodneybrooks.com·3h·
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Linux Meets AI: Top Machine Learning Frameworks You Need to Know
linuxjournal.com·17h·
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Why AI's Tom Cruise problem means it is 'doomed to fail' (2024)
theguardian.com·1d·
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We've been building Swarm agents incorrectly (starting from OpenAI's Swarm)
github.com·14h·
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Scaling Deep Learning Education in a College of Arts & Sciences
cacm.acm.org·3d·
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Tversky Neural Networks: Psychologically Plausible Deep Learning With
arxiviq.substack.com·2d·
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Humans make better content cops than AI, but cost 40x more
theregister.com·2d·
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Zero-to-Hero Deep Reinforcement Learning Course: Update with Advanced Topics
drlzh.ai·15h·
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Fundamentals of Probability
ocw.mit.edu·13h·
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Hospital Shift Scheduling with OR-Tools
barkeywolf.consulting·23h·
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