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# Reasoning and reliability in AI

**[MIT News](https://daily.dev/sources/mit)** · 5 min read · 1 upvotes · 0 comments

## Summary

Researchers at the MIT-IBM Watson AI Lab are working on improving the reliability and accuracy of natural language models. Their research focuses on using game theory, uncertainty quantification, and enhancing model capability. They aim to make language models more trustworthy, calibrate their confidence levels, and enable them to reason about what they see.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://news.mit.edu/2024/reasoning-and-reliability-in-ai-0118>

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Tags: [#ai](https://daily.dev/tags/ai), [#computer-vision](https://daily.dev/tags/computer-vision), [#human-computer-interaction](https://daily.dev/tags/human-computer-interaction), [#machine-learning](https://daily.dev/tags/machine-learning), [#nlp](https://daily.dev/tags/nlp), [#robotics](https://daily.dev/tags/robotics), [#vlm](https://daily.dev/tags/vlm)

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