When an AI model "hallucinates," it deviates from the data given to it by changing or adding additional information not contained in it. While there are times this can be beneficial, Microsoft researchers have been putting large language models to the test to reduce instances where information is fabricated. Find out how we're creating solutions to measure, detect and mitigate the phenomenon as part of its efforts to develop AI in a safe, trustworthy and ethical way. https://msft.it/6049Y0m41
A excellent way to see the evolution very fast
Any preference: Florence or OpenCV?
Intercept
1w
Very interesting approach to ensuring that answers are based solely on data. Like humans, the model is "hallucinating" in situations where the data is less available. This new mitigation feature will automatically rewrite answers based on the data that IS available. This will undoubtedly build more trust and confidence. Well done, friends!
MemoryCareAI
1w
Fantastic initiative! As members of the Microsoft Founders Hub, we at MemoryCareAI deeply appreciate the importance of accuracy and reliability in AI technologies, especially when they are used to enhance care for individuals with Alzheimer's and related dementias. We applaud Microsoft's efforts to rigorously address and mitigate the 'hallucination' phenomenon in AI models, ensuring these tools are both trustworthy and effective. Your commitment to developing AI responsibly and ethically aligns with our values as we continue to innovate in the healthcare space. #AIethics #ResponsibleAI #HealthcareInnovation
That’s fantastic to hear, Microsoft! Reducing instances of AI hallucination is crucial for maintaining the integrity and reliability of AI systems. By creating solutions to measure, detect, and mitigate fabricated information, you are setting a high standard for AI development. This approach not only enhances the accuracy and trustworthiness of large language models but also ensures their safe and ethical use in various applications. Kudos to your researchers for their dedication to advancing AI technology in a responsible manner. Looking forward to seeing the positive impact of these innovations!
Amazing and so proactive!
Love this proactive approach to ensuring not only ethical AI, but responsible and beneficial practices as well! 👏
Very informative
Fascinating research! At CodePinnacle, we understand the importance of accuracy and reliability in AI outputs. Large language models' tendency to 'hallucinate' can have significant consequences, especially in critical applications like healthcare or finance. We applaud Microsoft's efforts to mitigate this issue and develop more trustworthy AI systems. Our team is committed to advancing AI research and development, ensuring responsible innovation that benefits society as a whole.
BI Developer/Data Engineer på Sogeti
2wIt's a feature and not a bug, let it hallucinate, we all do it from time to time.