Stanford's AI Index report: training top AI models is way more expensive, AI still trails humans on complex tasks, people are more nervous about AI, and more
customer support, customer acquisition, and personalization all between 22-26%. [image] @stanfordhai : The #AIIndex2024 tracks the rise of multimodal models, major cash investments into generative AI, new performance benchmarks, shifting global opinions, and major regulations. It's a lot to take in! Start with this series of charts for the main highlights: https://hai.stanford.edu/... [image] @epochairesearch : 1/ We've been researching trends in machine learning models, in collaboration with AI Index (@indexingai) and @StanfordHAI. Here's what we found 🧵 @stanfordhai : 📢 The #AIIndex2024 is now live! This year's report presents new estimates on AI training costs, a thorough analysis of the responsible AI landscape, and a new chapter about AI's impact on medicine and scientific discovery. Read the full report here: https://aiindex.stanford.edu/ ... [image] Jaime Sevilla / @jsevillamol : New Epochresearch on model training costs now available through the Stanford AI Index report! More research on this will follow soon~ @stanfordnlp : The AI Index calls out Direct Preference Optimization (DPO) for the now widespread use of RLHF across Large Language Models: https://arxiv.org/... https://aiindex.stanford.edu/ report/ #NLProc #BiasedTakes [image] @stanfordnlp : The 2024 AI Index tacitly shows Natural Language Processing rising to be the central technology of AI 2004: NLP way off in the AI margins 2014: A little excitement over chatbots 2024: AI Index leads with impressive progress of LLMs https://aiindex.stanford.edu/ report/ #NLProc #BiasedTakes Anka Reuel / @ankareuel : It's here! @StanfordHAI's 2024 AI Index. 502 pages on everything that's been happening in AI, backed by data and research. Extra proud of the Responsible AI chapter for which I served as Research Lead this year - give it a read and let me know what your highlight was! Russell Wald / @russellwald : Officially published today, the AI Index has a 7 year history informing academia, civil society, industry leaders, and policymakers. This year is packed with insightful nuggets of information. @stanfordnlp : The AI Index editors chose “the most notable model releases of 2023”. 9 of the 15 were Large Language Models. 3 more involved language: text to image and speech models. 2 image models and a watermarking model brought up the rear. https://aiindex.stanford.edu/ report/ #NLProc #BiasedTakes [image] LinkedIn: Corey Noles : Super interesting report out of Stanford University on current trends in #AI. You don't have to read it all, but the first 10 bullet points are worth a couple minutes. … Heather E. : I'm incredibly proud to have contributed data and analysis on behalf of Quid for the 2024 Stanford AI Index Report published by the Stanford Institute for Human-Centered Artificial Intelligence (HAI). … Forums: r/singularity : Artificial Intelligence Index Report 2024 r/MachineLearning : Stanford releases their rather comprehensive (500 page) “2004 AI Index Report summarizing the state of AI today. r/artificial : 2024 AI Index Report Msmash / Slashdot : Stanford Releases AI Index Report 2024 1
The @StanfordHAI team is heading to the east coast for the launch of the #AIIndex2024 Report! If you're in D.C., join us on April 19 for a panel discussion at @HooverInst together with @erikbryn @RohiniKos @russellwald and @vanessaparli. https://hai.stanford.edu/...
The #AIIndex2024 is just out. It's spectacular. I received an embargoed advance copy and have already read it cover to cover. I simply can't recommend this report more highly. It is essential reading for anyone thinking deeply about the present and future of AI.
good stuff in this year's AI index. one thing that stood out to me was the inequality of tokens across different languages. i had missed the Oxford research on the topic https://aiindex.stanford.edu/ report/ [image]
Great new report out by @StanfordHAI on GenAI. #AIIndex2024 Interesting to see how businesses are using AI for various types of support at a relatively equal frequency— customer support, customer acquisition, and personalization all between 22-26%. [image]
The #AIIndex2024 tracks the rise of multimodal models, major cash investments into generative AI, new performance benchmarks, shifting global opinions, and major regulations. It's a lot to take in! Start with this series of charts for the main highlights: https://hai.stanford.edu…
📢 The #AIIndex2024 is now live! This year's report presents new estimates on AI training costs, a thorough analysis of the responsible AI landscape, and a new chapter about AI's impact on medicine and scientific discovery. Read the full report here: https://aiindex.stanford.edu/ …
The AI Index calls out Direct Preference Optimization (DPO) for the now widespread use of RLHF across Large Language Models: https://arxiv.org/... https://aiindex.stanford.edu/ report/ #NLProc #BiasedTakes [image]
The 2024 AI Index tacitly shows Natural Language Processing rising to be the central technology of AI 2004: NLP way off in the AI margins 2014: A little excitement over chatbots 2024: AI Index leads with impressive progress of LLMs https://aiindex.stanford.edu/ report/ #NLProc #B…
It's here! @StanfordHAI's 2024 AI Index. 502 pages on everything that's been happening in AI, backed by data and research. Extra proud of the Responsible AI chapter for which I served as Research Lead this year - give it a read and let me know what your highlight was!
Officially published today, the AI Index has a 7 year history informing academia, civil society, industry leaders, and policymakers. This year is packed with insightful nuggets of information.
The AI Index editors chose “the most notable model releases of 2023”. 9 of the 15 were Large Language Models. 3 more involved language: text to image and speech models. 2 image models and a watermarking model brought up the rear. https://aiindex.stanford.edu/ report/ #NLProc #Bia…