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Towards Data Science
Nov 15, 2026
Computing Effective Dimension for Quantum ML Models in PyTorch
Local and global variants, Fisher estimation, epsilon-ball sampling, and log-space stability, with PennyLane code and a …
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ML Mastery
Nov 14, 2026
Weight-Only Quantization
Overview This post is divided into five parts; they are: • Asymmetric Affine Quantization • Post-Training Quantization w…
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Towards Data Science
Nov 11, 2026
AI Assistant vs. Copilot vs. Agent, and When to Use Each
A palace-hotel wedding week shows where assistants, copilots, agents, and orchestration fit, and why Gartner expects 40%…
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Towards Data Science
Nov 13, 2026
How Jev Makes Decisions About Images, With 4 Python Examples
Practical code for classifying fabric against reference photos, scoring product sharpness, cropping shipping labels, and…
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KDnuggets
Nov 10, 2026
Integrating LLM Translation into Your Scikit-Learn Pipelines with Scikit-LLM
Learn, in a few easy steps, how to build a two-stage scikit-learn pipeline for multilingual text classification, guided …
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ML Mastery
Nov 7, 2026
Floating-Point Precision and Its Effects to Model Inference
Overview This post is divided into five parts; they are: • How Floating-Point Numbers Work • Common Precision Formats • …
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ML Mastery
Nov 12, 2026
Getting Reliable Structured Outputs from LLMs: Validation, Retries and Constrained Decoding
The fixture suite turns the sentences above into fourteen test cases, from a missing required key and a code fence aroun…
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Towards Data Science
Nov 11, 2026
“Are You Sure?” Flipped Qwen2.5-1.5B’s Right Answer 2 Times in 3
Three small open models, 150 MMLU questions each, five pushback styles: “That’s wrong” did more damage, and naming a wro…
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