top of page

Insights

Our Case Studies

Video Library

Program Overview - Generative AI: Technology, Business & Society

Program Overview - Generative AI: Technology, Business & Society

Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape it is imperative for leaders to grasp the implications of this transformation for their businesses, technologies, and society at large. Explore this dynamic field in this program developed by Stanford Online and Stanford’s Institute for Human-Centered Artificial Intelligence (HAI). This comprehensive program covers technical fundamentals, business implications, and societal considerations, all with a focus on putting people first. Explore the capabilities and limitations of Generative AI. - Learn cost-efficient approaches to building, training, and selecting foundation models. - Discover the best ways to structure AI initiatives to boost creativity and productivity. - Balance ethical considerations, fairness, privacy, and safety in AI projects. - Examine real-world examples from robotics and healthcare. - Develop business and technological solutions prioritizing human well-being. We have brought together some of the most highly esteemed experts in the field to design a conference-style learning experience exploring the intricacies and capabilities of generative AI. Each speaker brings a wealth of knowledge and experience, creating an enriching multidisciplinary educational opportunity. Learn more about the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program #generativeai
The Rise of Small Language Models to Cut AI Costs

The Rise of Small Language Models to Cut AI Costs

For years, the likes of Google and OpenAI have been racing to build ever bigger and costlier AI models using a tremendous amount of online data - think chatbots like ChatGPT, which can handle a wide range of complex queries. But some startups are now betting on a different strategy: small language models, automating a more limited set of day-to-day corporate tasks without requiring as much data. Bloomberg's Rachel Metz joins Ed Ludlow to discuss on "Bloomberg Technology." -------- Like this video? Subscribe to Bloomberg Technology on YouTube: https://www.youtube.com/channel/UCrM7B7SL_g1edFOnmj-SDKg   Watch the latest full episodes of "Bloomberg Technology" with Caroline Hyde and Ed Ludlow here: https://www.youtube.com/playlist?list=PLfAX25ZLrPGTygCwn55voYZ_LYyKjxokJ   Get the latest in tech from Silicon Valley and around the world here: https://www.bloomberg.com/technology Connect with us on... X: https://twitter.com/technology Facebook: https://www.facebook.com/BloombergTechnology Instagram: https://www.instagram.com/bloombergbusiness/   Follow Ed Ludlow on X here: https://twitter.com/EdLudlow Follow Caroline Hyde on X here: https://twitter.com/CarolineHydeTV   Listen to the daily Bloomberg Technology podcast here: https://www.bloomberg.com/podcasts/series/bloomberg-technology   More from Bloomberg Business Connect with us on... X: https://twitter.com/business Facebook: https://www.facebook.com/bloombergbusiness Instagram: https://www.instagram.com/bloombergbusiness/ LinkedIn: https://www.linkedin.com/company/bloomberg-news/ TikTok: https://www.tiktok.com/@bloombergbusiness

Subscribe to our newsletter for weekly insights and news focused on operations and technology.

Stay Tuned for Exciting Updates

  • LinkedIn
  • Twitter

© 2024 1ConsultingSolution.com. All Rights Reserved.

bottom of page