Parallelization Strategies in Neural Networks
nwktimes.blogspot.com·19h·
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Learning to code from scratch with AI: what worked, what didn't
indiehackers.com·8h·
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Wrote an in-depth blog on scaling modern transformers with n-D parallelism
jaxformer.com·1h·
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LLMs Are Adaptive Data Organisms
worldgov.org·11h·
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Virtual panel: How software engineers and team leaders can excel with AI
infoq.com·6h·
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A PyTorch plugin to rethink AI's core
forbes.com·2d·
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AI Snacks: Small Ways to Sprinkle AI into Everyday Tools
amirmalik.net·2d·
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The Progress of the Model Context Protocol (MCP) with John Capobianco [audio]
packetpushers.net·37m·
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Reflections on Random Kitchen Sinks
archives.argmin.net·1d·
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Why the Technological Singularity May Be a "Big Nothing"
news.ycombinator.com·59m·
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⌚wearables
LifeGPT: Generative pretrained transformer model for cellular automata
nature.com·20h·
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🐍Python
Robots learn to work together like a well-choreographed dance
ucl.ac.uk·2d·
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🔌PCB Design
AI Is Currently Hitting the Wall of Code Structure
modgo.org·34m·
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When LLMs Grow Hands and Feet, How to Design Our Agentic RL Systems?
amberljc.github.io·1d·
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Show HN: BuildKit 2.0 – the shadcn for AI integrations
buildkit.picaos.com·2d·
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Evelyn – Early Prototype of a Local-First AI Voice Assistant
news.ycombinator.com·9h·
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🐍Python
Serving AI from the basement part I
ahmadosman.com·3d·
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Exclusive: Baseten, AI inference unicorn, raises $150 million at $2.15 billion valuation
fortune.com·1d·
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Thoughts on Evals
raindrop.ai·23h·
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Optimizing AI Inference with Edge Computing
edgee.cloud·4d·
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