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🚀 Just Released: The AI Index 2023 Report by Stanford HAI 📈 Dive into the state of AI through 13 pivotal charts highlighting the exponential rise of multimodal foundation models, a notable dominance of the U.S. in global AI development, and skyrocketing training costs. Whether it's industry overshadowing academia in model creation or AI achieving human-level benchmarks, this comprehensive report unpacks the major trends and shifts in the AI landscape of 2023. Save time with a high-level summary here and see why AI is a game-changer for industries worldwide! 🌍 #AIIndex2023 #ArtificialIntelligence #StanfordHAI

AI Index: State of AI in 13 Charts

State of AI in 13 Charts

This paper by Sudhi Sinha & Young M. Lee  examines the diverse hurdles faced during developing and deploying AI applications in the industrial domain. https://lnkd.in/enq8kYyK

A good explanation of Multimodal AI model.

AI Index: State of AI in 13 Charts The index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from academia and industry. This year’s report covers the rise of multimodal foundation models, major cash investments into generative AI, new performance benchmarks, shifting global opinions, and new major regulations. #ai #artificialintelligence #datascience #opensource #institution #responsibleai

This is a repost from Bindu Venkatesh. It is an interesting article. Thanks, Bindu, for this informative post. https://lnkd.in/dq_c3bAc Here is another article on Sam Altman of Open AI on energy investments. https://lnkd.in/dnCpXbFg Sam Altman invests in fission nuclear, wind, solar, and geothermal energy. The question is, why? Sam Altman is pushing to reduce the cost of computing. Is this going to be the trend for these tech giants to invest in energy and chip makers? Do you think that as time progresses and the training cost of AI models increases, all the other companies pursuing their models will stop building them and become partners with the top 3-5 innovators with investment backing? These are interesting times. One innovation of Gen AI will change the landscape of energy and semiconductor companies. How far are we from making quantum computing a reality? That will truly be a game-changer for AI. We can welcome the Cyberdyne Systems overlords, lol.

Microsoft's 7 takeaways from a year of building generative AI 💻 Highlights: 1. Responsible AI 2. Experimentation 3. Standard Evaluation Framework 4. Mechanisms for identifying potential deepfakes 5. Filtering unwanted outputs 6. Identify jailbreak practices 7. Inform about the limitations of AI Source 👇 https://lnkd.in/eKGsYniQ

That's a really interesting article about AI and its evolution, by Bernard Marr. #artificialintelligence, #data, #machinelearning, #future, #inovation https://lnkd.in/dRwPbW49

“Key challenges identified include security concerns, lack of expertise, and insufficient benchmarks to effectively evaluate models. While improving operational efficiency was the top reason for adopting AI (cited by 79%), only half are measuring the business impact of their AI initiatives.” Ben's Bites highlighted the key takeaways from the 3rd edition of Scale Zeitgeist: AI Readiness Report 2024. (Report: https://lnkd.in/ggMWsspW) Read the full summary here: https://lnkd.in/gxZVGuSV