Tag: bias mitigation

Bias in Large Language Models: Sources, Measurement, and Mitigation

Bias in Large Language Models: Sources, Measurement, and Mitigation

Large language models exhibit hidden biases from training data, human feedback, and internal architecture. New research reveals pro-AI bias, AI-AI bias, and methods to detect and fix them before they cause real harm.

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Combining Pruning and Quantization for Maximum LLM Speedups

Combining Pruning and Quantization for Maximum LLM Speedups

Mar, 3 2026

Domain-Specialized Generative AI Models: Why Vertical Expertise Beats General Purpose AI

Domain-Specialized Generative AI Models: Why Vertical Expertise Beats General Purpose AI

Mar, 9 2026

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Calibration and Outlier Handling in Quantized LLMs: How to Keep Accuracy When Compressing Models

Jul, 6 2025

Community and Ethics for Generative AI: How Transparency and Stakeholder Engagement Shape Responsible Use

Community and Ethics for Generative AI: How Transparency and Stakeholder Engagement Shape Responsible Use

Mar, 22 2026

Transformer Efficiency Tricks: KV Caching and Continuous Batching in LLM Serving

Transformer Efficiency Tricks: KV Caching and Continuous Batching in LLM Serving

Sep, 5 2025

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