Computational Complexity and Explanations in Physics
gilkalai.wordpress.com·1h
🔄ONNX
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·2d
⚡ONNX Runtime
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ParallelBench: Understanding the Trade-offs of Parallel Decoding in DiffusionLLMs
dev.to·4h·
Discuss: DEV
🤖AI Coding Tools
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
paperium.net·1d·
Discuss: DEV
⚡ONNX Runtime
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my first AI Agent Researcher with Python + Langchain + Ollama :)
reddit.com·10h·
Discuss: r/SoftwareEngineering
🤖AI Coding Tools
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RL for Reasoning by Adaptively Revealing Rationales
machinelearning.apple.com·4d
⚡ONNX Runtime
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[D] Best (free) courses on neural networks
reddit.com·1d·
Discuss: r/MachineLearning
👁️Attention Optimization
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ZkML Breakthrough: 13B Models Verified in 15 Minutes
lightcapai.medium.com·7h·
Discuss: Hacker News
🎯Tensor Cores
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Curly Flow Matching for Learning Non-gradient Field Dynamics
arxiv.org·2d
🏎️TensorRT
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Complete Guide to Deploying Machine Learning Models with Flask and Docker(NO fluff configure and run like a pro)
dev.to·10h·
Discuss: DEV
🚀MLOps
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Evidence on language model consciousness
lesswrong.com·1d
🏎️TensorRT
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Beyond the Black Box: Making LLM Decoding Truly End-to-End
dev.to·2d·
Discuss: DEV
💡LSP
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
dev.to·2d·
Discuss: DEV
🔄ONNX
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Building a Prompt Engineering Toolkit for Developers
amzn.to·21h·
Discuss: DEV
🤖AI Coding Tools
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·1d·
Discuss: Substack
🧩Attention Kernels
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Equation Discovery, Parametric Simulation, and Optimization Using the Physics-Informed Neural Network (PINN) Method for the Heat Conduction Problem
arxiv.org·2d
🔄ONNX
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Enhanced Knowledge Graph Reasoning via Multi-Modal Data Fusion and Automated Verification
dev.to·3d·
Discuss: DEV
🔄ONNX
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On-Policy Distillation
thinkingmachines.ai·6d·
Discuss: Hacker News, Hacker News
📊Gradient Accumulation
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Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error
arxiv.org·2d
🏎️TensorRT
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From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers
towardsdatascience.com·9h
🏎️TensorRT
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