PyTorch Team Introduces Cluster Programming
i-programmer.info·1d
🌪️V8 Pipeline
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An Embodied Mathematics
3quarksdaily.com·17h
🔗Concatenative Theory
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Fine-Tuning an AI – Part I
zwischenzugs.com·1d
🌙Lua
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Becoming a Core Developer
stefaniemolin.com·3d
⚙️TOML Parsers
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Using eBPF to attribute packet drops to netfilter rules
developers.redhat.com·2d
🪤Trap Handlers
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KTransformers Open Source New Era: Local Fine-tuning of Kimi K2 and DeepSeek V3
🗺️Region Inference
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Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
arxiv.org·23h
📋JSON Parsing
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Unlocking the Brain of AI: How Neural Networks Are Changing Everything
🪜Recursive Descent
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Atomically accurate de novo design of antibodies with RFdiffusion
🗺️Region Polymorphism
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Challenging DINOv3 Foundation Model under Low Inter-Class Variability: A Case Study on Fetal Brain Ultrasound
arxiv.org·23h
🌱Minimal ML
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FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
arxiv.org·1d
📊LR Parsing
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VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
arxiv.org·23h
🌱Minimal ML
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FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
arxiv.org·1d
🌱Minimal ML
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·1d
🪜Recursive Descent
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Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
arxiv.org·1d
🔍ML Language
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Showcase: In Memoria - Rust core with TypeScript/NAPI interface for high-performance AI tooling
🚂Cranelift Backend
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.org·1d
⚖️Weighted Automata
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