Tag: AI safety

Guardrail-Aware Fine-Tuning to Reduce Hallucination in Large Language Models

Guardrail-Aware Fine-Tuning to Reduce Hallucination in Large Language Models

Guardrail-aware fine-tuning prevents large language models from losing their safety protections during customization, drastically reducing hallucinations. Learn how it works, why it's essential, and how to implement it.

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Controlling Length and Structure in LLM Outputs: Practical Decoding Parameters Feb, 18 2026
Controlling Length and Structure in LLM Outputs: Practical Decoding Parameters
Trademark and Generative AI: How Synthetic Content Is Risking Your Brand Dec, 3 2025
Trademark and Generative AI: How Synthetic Content Is Risking Your Brand
Measuring Hallucination Rate in Production LLM Systems: Key Metrics and Real-World Dashboards Jan, 5 2026
Measuring Hallucination Rate in Production LLM Systems: Key Metrics and Real-World Dashboards
Evaluation Gates and Launch Readiness for Large Language Model Features Oct, 25 2025
Evaluation Gates and Launch Readiness for Large Language Model Features
Infrastructure Requirements for Serving Large Language Models in Production Dec, 8 2025
Infrastructure Requirements for Serving Large Language Models in Production

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