Bayesian Inference, Metropolis-Hastings, Gibbs Sampling, Posterior Estimation

Our newest model: Chandra (OCR)
datalab.to·3h·
Discuss: Hacker News
🤖Scikit-learn
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A Formulation of Slop: How Optimization Pressure Destroys Meaning
intuitmachine.medium.com·1d·
Discuss: Hacker News
💼Portfolio Theory
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Objects as Random Access Memory
tbr.bearblog.dev·10h
🌲Persistent Data Structures
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Your Transformer is Secretly an EOT Solver
elonlit.com·2d·
Discuss: Hacker News
🌪️Chaos Engineering
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Hyper-Dimensional Bayesian Optimization for Enhanced Statistical Process Control
dev.to·1d·
Discuss: DEV
🎛statistical process control
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Transformers for Unseen Patterns: Bayesian Clustering Reimagined
dev.to·4d·
Discuss: DEV
🤖Scikit-learn
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·2d
🤖Scikit-learn
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
dev.to·1d·
Discuss: DEV
🤖Scikit-learn
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Predictive Model-Based Design Validation via Dynamic Bayesian Network Fusion
dev.to·22h·
Discuss: DEV
🌪️Chaos Engineering
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Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
arxiv.org·2d
🤖Scikit-learn
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SAMRI: Segment Anything Model for MRI
arxiv.org·2d
🤖Scikit-learn
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Model welfare and open source
lesswrong.com·10h
🎲Property-Based Testing
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Extropic claims its new AI chip (TSU) is 10,000x more energy-efficient than GPUs
extropic.ai·2d·
Discuss: Hacker News
🎲Monte Carlo
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·14h·
Discuss: Substack
🔗Parser Combinators
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Finetuning Open-source models with Opus, Sonnet 4.5 and Haiku 4.5
reddit.com·2h·
Discuss: r/ClaudeAI
Property Testing
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Fitting KNN: From Overfit to Underfit and Everything Between
dev.to·2d·
Discuss: DEV
🔀Cross-Validation
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MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
arxiv.org·2d
🤖Scikit-learn
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