Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design....
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Introduction I read about this study on Twitter and couldn’t stop thinking about it. In 2009, neuroscientists put a dead Atlantic salmon in an fMRI scanner, sh...
A practical guide to observability, evaluations, and model comparisons The post Measuring What Matters with NeMo Agent Toolkit appeared first on Towards Data Sc...
The arms race to build smarter AI models has a measurement problem: the tests used to rank them are becoming obsolete almost as quickly as the models improve. O...
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Data Leakage pada Machine Learning Sering kali mentee melakukan kesalahan dasar dalam alur kerja Machine Learning: Exploratory Data Analysis EDA → preprocessin...
Model Evaluation Start with basic model evaluation — quick tests that tell if a model is honest or just lucky. When you have little data, use methods made for...
Why some AI defenses fail — a simple look at testing and safety People build systems that learn from data, but small tricky changes can make them fail. Researc...
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Why eval feels painful and why it keeps getting skipped 🔥 Eval is supposed to keep you safe, but the setup often feels like punishment: - You copy prompts int...
Comparing metrics across datasets and models The post Running Evals on a Bloated RAG Pipeline appeared first on Towards Data Science....
