Running Gaming Workloads Through AMD's Zen 5
chipsandcheese.com·21h·
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Unsupervised Model Improvement via Internal Coherence Maximization
huggingface.co·5h·
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Parallel Programming Models
ayushgundawar.me·1d·
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Show HN: Open-source Voice Cloning at 16x real-time: Porting Chatterbox to vLLM
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The hidden engineering behind foundation model building
poolside.ai·1d·
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Claude Code and shipping stuff to prod
boliv.substack.com·11h·
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Benchmarks in CI: Escaping the Cloud Chaos
codspeed.io·4d·
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Demystify OpenAI Triton (2023)
fkong.tech·23h·
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How Judoscale's Utilization-Based Autoscaling Works
judoscale.com·3d·
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Three bad things: threads, garbage collection, and nondeterministic destructors
apenwarr.ca·11h·
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Task-based returns to generative AI: Evidence from a central bank
cepr.org·5h·
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Benchmarking MicroPython
blog.miguelgrinberg.com·3d·
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Why random rotations are good for RoPE
research.novelai.net·2d·
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
arxiviq.substack.com·3d·
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Slurm vs. K8s for AI Infra: Academic HPC vs. Cloud-Native Reality
blog.skypilot.co·2d·
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Building for the Era of Experience
rnikhil.com·7h·
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Kano Model
en.wikipedia.org·4h·
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Small Models, Big Wins: Agentic AI in Enterprise Explained
blog.premai.io·2d·
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When Your Database Lives in CPU Cache (Because Why Not?)
blog.canoozie.net·2d·
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🦀Rust
Efforts to Ground Physics in Math Are Opening the Secrets of Time
wired.com·8h·
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🤖AI