Tag: AI reliability

How to Make LLMs Self-Correct: Error Messages and Feedback Prompts That Work

How to Make LLMs Self-Correct: Error Messages and Feedback Prompts That Work

Learn how to use error messages and feedback prompts to enable LLM self-correction. Discover intrinsic, multi-turn, and FTR methods to reduce AI errors by up to 45%.

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Confidence and Uncertainty in Generative AI Outputs: Communicating Reliability

Confidence and Uncertainty in Generative AI Outputs: Communicating Reliability

Explore why generative AI often hides its uncertainty, the risks of hallucination, and how visualizing confidence can restore user trust and critical thinking.

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Recent Post

  • Safety in Multimodal Generative AI: How Content Filters Block Harmful Images and Audio

    Safety in Multimodal Generative AI: How Content Filters Block Harmful Images and Audio

    Nov, 25 2025

  • Risk and Controls for Generative AI: Policies, Approvals, and Monitoring Strategy

    Risk and Controls for Generative AI: Policies, Approvals, and Monitoring Strategy

    Mar, 29 2026

  • Structured vs. Unstructured Pruning: How to Compress LLMs Without Losing Brains

    Structured vs. Unstructured Pruning: How to Compress LLMs Without Losing Brains

    Jun, 15 2026

  • User Education on LLM Limitations: Setting Expectations Responsibly

    User Education on LLM Limitations: Setting Expectations Responsibly

    Jul, 3 2026

  • Generative AI in Pharma: Optimizing Trial Design, Protocols, and Regulatory Writing

    Generative AI in Pharma: Optimizing Trial Design, Protocols, and Regulatory Writing

    May, 7 2026

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