User Discussion on Mistral Large 2's Uncertainty Acknowledgment Feature

User Discussion on Mistral Large 2's Uncertainty Acknowledgment Feature

Mistral AI's announcement that their new Large 2 model is trained to acknowledge when it lacks sufficient information or cannot find solutions has prompted discussion among AI enthusiasts.

Mistral Large 2

Users generally view this feature as an important development. Some have been calling for this capability in language models for some time. The potential impact of this feature is noted, with users describing it as significant if it works as intended.

However, concerns were raised about the model potentially being too cautious, saying "I don't know" even when it has correct information. To address this, the model could potentially disclose low confidence levels before providing an answer or express its certainty in probabilistic terms. The discussion shows that while users see value in this feature, they also recognize the challenges in its implementation.

As this feature is implemented and refined, we may see AI models that are more transparent about their limitations, potentially leading to more trustworthy and reliable AI interactions in various applications.

 

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124