📄 文章列表
67 篇文章
TDS
Choosing the Best Model Size and Dataset Size under a Fixed Budget for LLMs
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The Machine Learning Lessons I’ve Learned This Month
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Robotics with Python: AI Humanoid
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Robotics with Python: Q-Learning vs Actor-Critic vs Evolutionary Algorithms
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I Measured Neural Network Training Every 5 Steps for 10,000 Iterations
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Decentralized Computation: The Hidden Principle Behind Deep Learning
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Teaching a Neural Network the Mandelbrot Set
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Glitches in the Attention Matrix
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On the Possibility of Small Networks for Physics-Informed Learning
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Mechanistic Interpretability: Peeking Inside an LLM
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Hybrid Neuro-Symbolic Fraud Detection: Guiding Neural Networks with Domain Rules
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How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment
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Neuro-Symbolic Fraud Detection: Catching Concept Drift Before F1 Drops (Label-Free)
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Self-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining
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Explainable AI in Production: A Neuro-Symbolic Model for Real-Time Fraud Detection
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How Can A Model 10,000× Smaller Outsmart ChatGPT?
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Detecting Translation Hallucinations with Attention Misalignment
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You Don’t Need Many Labels to Learn
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PyTorch NaNs Are Silent Killers — So I Built a 3ms Hook to Catch Them at the Exact Layer
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