Reproducing prospect theory with 'differentiable decision theories'
science.org·23h·
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🤖AI
There is an easy way to dramatically reduce the resources we spend to train LLMs.
medium.com·1d·
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Show HN: A short story on developing a long-context World-Model with no money
francesco215.github.io·1h·
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🧪computational biology
Help me with Artificial Intelligence - What can a parent learn from their children?
lesswrong.com·6h
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Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·2d·
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From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
netflixtechblog.com·1d·
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🧬genomics
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·2d·
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🧪computational biology
Lessons from AI Safety for Businesses
svana.name·10h·
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🤖AI
Everything Is Correlated
gwern.net·18h·
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🧬genomics
Auto-labeling in Viam can elevate your edge ML project
viam.com·2d·
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V-JEPA 2: Scaling V-JEPA
gonzoml.substack.com·5h·
Discuss: Substack
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DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
arxiv.org·1d·
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The lottery ticket hypothesis: why neural networks work
nearlyright.com·4d·
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What Hugging Face reveals about the data economy of fine-tuning
research.portexai.com·4h·
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🧬genomics
Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)
aws.amazon.com·1d·
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🤖AI
Building AI Products in the Probabilistic Era
giansegato.com·1d·
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🤖AI
Play with Generative Adversarial Networks (GANs) in the Browser
poloclub.github.io·14h·
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🤖AI
Adaptive deep SVM for detecting early heart disease among cardiac patients
nature.com·3d·
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🤖AI
The "Super Weight:" How Even a Single Parameter can Determine a Large Language Model's Behavior
machinelearning.apple.com·1d·
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🤖AI
OpenAI has lost the plot on boring LLM use cases
softwaredoug.com·1d·
Discuss: Hacker News
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