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Towards Data Science
Jun 4, 2026
Is an Online Master’s Degree in AI a Good Idea?
A look at the real-world value of online graduate AI programs, combining hard data with firsthand experience of a big te…
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KDnuggets
Jun 2, 2026
A Gentle Primer on LLM Explainability
This article discusses LLM explainability and outlines the advances, trends, and ongoing developments in this important …
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Towards Data Science
Jun 3, 2026
I Spent May Evaluating Different Engines for OCR
Testing fourteen engines on ninety-three human documents
The post I Spent May Evaluating Different Engines for OCR appea…
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Towards Data Science
Jun 5, 2026
How to Fine-Tune an SLM for Emotion Recognition
Python tutorial for fine-tuning a Mistral Small 3.1 on an imbalanced training set to classify 15 emotions in social medi…
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Towards Data Science
Jun 6, 2026
Picking an Experimentation Platform: A Retrospective
My approach to guiding the choice between Eppo and Statsig, and the lessons learned
The post Picking an Experimentation …
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KDnuggets
Jun 5, 2026
A Deep Dive into Calibration of Language Models: Platt Scaling, Isotonic Regression, Temperature Scaling
Discover three post-hoc methods for closing the gap between confidence and accuracy.…
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ML Mastery
Jun 4, 2026
Using Scikit-LLM with Open-Source LLMs
This article will teach you how to perform a language task like text classification by integrating locally hosted large …
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Towards Data Science
Jun 8, 2026
Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks
What Fourier analysis misses
The post Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Network…
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