Several companies and researchers have introduced new methods and technologies to reduce hallucinations in large language models (LLMs) used in artificial intelligence. Startup Lamini has unveiled a methodology that reduces hallucinations by 95%, while Galileo launched Luna, an Evaluation Foundation Model for accurate and low-cost hallucination detection. Other approaches include using RAG Technology and semantic entropy to minimize AI hallucinations. Scientists are also developing algorithms to detect and reduce AI 'hallucinations' in various applications, such as chatbots and medical reports.
π€π¬π§ Scientists Develop Breakthrough Algorithm to Detect AI "Hallucinations"! Finally, a tool that significantly enhances AI reliability by spotting false claims early. #AI #Innovation https://t.co/h7kDbQojZX
Overview of our paper on detecting hallucinations in large language models with semantic entropy from @ScienceMagazine https://t.co/jLZ1Yzmr2T
Excellent piece by @karinv in @nature News and Views discussing our recent paper on detecting hallucinations with semantic entropy https://t.co/QSc3xh4UA6
Our work on detecting hallucinations in LLMs just got published in @Nature! Check it out :) https://t.co/g5FMs3o9YF
Scientists develop new algorithm to spot AI 'hallucinations'βinstances when generative AI tools, like ChatGPT, confidently assert false information https://t.co/ohuaOYb60J
AI systems like ChatGPT and Gemini sometimes "hallucinate" β they invent plausible but imaginary facts. How can we predict and avoid such errors? Christ Church's Yarin Gal and his team @OATML_Oxford answer this question in today's @Nature article π https://t.co/LiGs8oRNaF https://t.co/81WNECqLAU
Check out this fascinating blog post about scientists developing a new algorithm to spot AI βhallucinations.β Stay informed about the latest technological advancements. Read more here: https://t.co/oRyE7Dle2Y
Scientists have found a new way to detect (and possibly reduce) AI "hallucinations" ... potentially paving the way for more reliable chatbots. My story in TIME: https://t.co/7yscustrHU
A paper in @Nature presents a method for detecting hallucinations in large language models (LLMs) that measures uncertainty in the meaning of generated responses. The approach could be used to improve the reliability of LLM output. https://t.co/0IYtFBiOaF https://t.co/PwSQ8DqXsk
Check out this insightful blog post on how businesses are addressing AI hallucination and reliability issues for LLMs. Stay informed about the latest developments in AI technology here: https://t.co/tIffN9JhbD
Ever wondered what happens when AI gets it wrong? In our latest blog, we explore AI hallucinations β when AI generates text that sounds right but isn't.
Check out this insightful blog post on how businesses are dealing with AI hallucinations. Gain an understanding of the challenges they face and the strategies they're using to overcome them. Read more: https://t.co/tIffN9JhbD
Why does AI hallucinate? | MIT Technology Review https://t.co/fQ3qhaXHoJ
Radiology is probably the most mature field in the adaptation of AI. However, what is stopping radiology from adopting the recent success of LLMs in report generation? π΅βπ« Hallucinations! π΅βπ« This preprint discusses how DPO could be utilized to reduce hallucinations, taking aβ¦ https://t.co/S87or0t7Ev
Sometimes gen AI hallucinations can indeed be "a feature not a bug" (e.g. image generation)... But in many cases, *not* making things up is actually really important (say, Web search or navigation). There's a big difference between the two! https://t.co/KLMmk8J03U
π TOMORROW we're unveiling a year's worth of R&D behind Luna β our family of Evaluation Foundation Models! See the future of instant, accurate, low cost hallucination detection: https://t.co/6iLZpzkw36 #ML #MachineLearning #LLM #LLMOps #AI #GenAI #DataScience #DataEngineering https://t.co/yD5sYHvYht
Galileo Launches Luna: A Breakthrough Evaluation Foundation Model for Accurate, Low-Cost Language Model Hallucination Detection #AI #AItechnology #artificialintelligence #Galileo #llm #Luna #machinelearning https://t.co/BUHhxgdcl6 https://t.co/0w6tWe2p5N
π¨ Hallucinations in medical AI are dangerous, but there's hope! Our new method (https://t.co/zPjUahXGtg) achieves up to ~5x reduction in hallucination errors in medical reports. Two steps to do this:π
Advanced Strategies for Minimizing AI Hallucinations with RAG Technology #AI #AItechnology #artificialintelligence #llm #machinelearning #RAG https://t.co/mWglGQtW6l https://t.co/XTda5Q7poO
π¨ AI breakthrough alert Startup Lamini has unveiled a new methodology that reduces hallucinations in large language models by 95%.
Reduce #AI #Hallucinations With This Neat Software Trick https://t.co/mXRdDhpbU5 #fintech #GenAI @reece___rogers @wired
π Last week we announced Luna β our family of Evaluation Foundation Models β capable of instant, accurate, low cost hallucination detection! Read our research paper to understand how we developed Luna, including intelligent chunking, multi-task training, token-level evaluationβ¦ https://t.co/dN9Nw8GOjS