BRICS AI Economics

Tag: model pruning

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Apr, 24 2026

Stochastic Depth and Regularization for Deep Transformer LLMs

Emily Fies
0
Explore how stochastic depth and advanced regularization techniques prevent overfitting and improve generalization in deep transformer-based LLMs.
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Dec, 28 2025

Energy Efficiency in Generative AI Training: Sparsity, Pruning, and Low-Rank Methods

Emily Fies
9
Learn how sparsity, pruning, and low-rank methods cut generative AI training energy by 30-80% without sacrificing accuracy. Real-world data, implementation tips, and future trends.

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Latest Courses

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    Ownership Maps: Who Maintains What in AI-Generated Repositories

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    Anonymization vs Pseudonymization in LLM Workflows: A Practical Guide

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    Domain-Specialized LLMs: Why Code, Math, and Medicine Models Beat General AI

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    How to Evaluate LLM Agents: Task Success, Safety, and Cost Metrics

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    Accessibility Risks in AI-Generated Interfaces: WCAG and Real-World Failures

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