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Model Evaluation

206 summarised stories about Model Evaluation, each linking back to the original source. Browse all topics →

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Sunday, 9 August 2026

Lessons from the hacks

Interconnects 2 months ago 50 ● 4 sources

The author discusses lessons from cyberattacks involving in-development frontier AI models, arguing that incentives in technology companies and slow-moving government oversight leave the industry unprepared for rapid capability transitions. The article says the AI industry is “unprepared for handling the next 12-24 months well,” and highlights a need for more transparency in frontier model evaluation and tighter monitoring. As a result, it calls for increased openness and public study of frontier risks, plus stronger state capacity to prepare for “AI-native” security harms.

IMDb Sentiment Analysis with DistilBERT LoRA, TF-IDF Baselines, Calibration, Interpretability, Robustness Testing, and Semi-Supervised Learning

MarkTechPost 2 months ago 34

The tutorial builds an IMDb sentiment analysis workflow that compares a TF-IDF plus Logistic Regression baseline with DistilBERT fine-tuned using LoRA, including dataset checks, evaluation, calibration, interpretability, robustness tests, and semi-supervised pseudo-labeling.

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