📄 文章列表
21 篇文章
TDS
Difference-in-Differences vs Lagged-Outcome Regression
TDS
What's in the Box? Distinguishing Acceptable Traces from Unacceptable Ones
TDS
Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer
TDS
Hallucinations, Watermarks, Removers, and a Squeezed Balloon
TDS
Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)
TDS
Ten Is Not a Hundred
TDS
Why Your Best Predictive Model Gives the Wrong Treatment Effect
TDS
Prompt Engineering Fails Quietly — Prompt Regression Is Why
Rundown.AI
⚡️ X loses millions of active users
TDS
How to Use Gyroscope in Presentations, or Why Take a JoyCon to DPG2025
TDS
Adding Training Noise To Improve Detections In Transformers
TDS
ConvNeXt Paper Walkthrough: The CNN That Challenges ViT
TDS
AI Operations Under the Hood: Challenges and Best Practices
TDS
Decoding Nonlinear Signals in Large Observational Datasets
TDS
Smarter, Not Harder: How AI’s Self-Doubt Unlocks Peak Performance
TDS
MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
TDS
RF-DETR Under the Hood: The Insights of a Real-Time Transformer Detection
TDS
Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Combine Them.
TDS
LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships
TDS
Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)
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