What do noise functions sound like?
aabiji.github.io·1d·
🐹Go
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I split my NAS into three servers, and now my home lab runs better than ever
xda-developers.com·10h
☁️Cloud Computing
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Native Apps with ClojureScript, React and Static Hermes
romanliutikov.com·1d·
Discuss: r/programming
🐹Go
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Where Explanations End
kill-the-newsletter.com·16h
🎯Event-Driven Architecture
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Thoughts on Architecting LARGE software projects, the Front End perspective
adropincalm.com·1d
🎯Event-Driven Architecture
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Exceptions in Cranelift and Wasmtime
cfallin.org·4d·
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AI Isn't Alchemy: Not Mystical, Just Messy
craftedlogiclab.com·1d·
Discuss: Hacker News
🎯Event-Driven Architecture
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Risk resolution of airport surface based on hybrid Petri nets and inverse reinforcement learning
sciencedirect.com·2d
🎯Event-Driven Architecture
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Need some help optimizing for an academic research use case
reddit.com·3d·
Discuss: r/homelab
🗄️Database Sharding
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
paperium.net·1d·
Discuss: DEV
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Quantum-Resistant Federated Learning with Homomorphic Encryption for Cross-Silo Medical AI Systems
dev.to·3d·
Discuss: DEV
🐹Go
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Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
arxiv.org·1d
Performance Tuning
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Cracking the Code: Why AI Still Struggles with List Languages by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🐹Go
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Taurus Database: How to Be Fast, Available, and Frugal in the Cloud
muratbuffalo.blogspot.com·13h·
Discuss: Hacker News
🗄️Database Sharding
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🐍 Using Python to Extend Go High Level’s Capabilities via API
dev.to·20h·
Discuss: DEV
🌐Web APIs
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Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models
paperium.net·1d·
Discuss: DEV
🐹Go
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Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
arxiv.org·5h
Performance Tuning
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On Pretraining for Project-Level Code Completion
paperium.net·3d·
Discuss: DEV
🎯Event-Driven Architecture
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Textual Self-attention Network: Test-Time Preference Optimization through Textual Gradient-based Attention
arxiv.org·5h
Performance Tuning
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