{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Technology Now","title":"Re-imagining how we train LLMs using physics-based AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6fc4ff06\"></iframe>","width":"100%","height":180,"duration":1105,"description":"Machine-learning based Generative AI is inherently inefficient. Training models by sifting findings again and again until a suitable output is generated is a time-consuming – end energy-consuming – process. So, could there be a better way to look at training our AI systems? Well, one possible option is physics-based AI, where training is viewed as an energy grid, and the best possible route though that grid mapped to find outputs. It’s a novel way of thinking, but it could change our whole approach to AI.Joining us again today to find out more is Ray Beausoleil, a physicist, senior fellow and senior vice president at HPE. He leads the large scale integrated photonics lab at Hewlett Packard Labs. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA About this week's guest: Ray Beausoleil: https://www.linkedin.com/in/ray-beausoleil-22b148a/ Sources and statistics cited in this episode:WEF paper on data centre energy usage: https://www.weforum.org/agenda/2024/07/generative-ai-energy-emissions/ IEA sats on energy usage in IT: https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks#overviewNovel insulins grand challenge: https://type1diabetesgrandchallenge.org.uk/funding/closed-funding/novel-insulins-innovation-incubator/","thumbnail_url":"https://img.transistorcdn.com/UOegNzJ0-xgXIoI_VcUi89JmyI33qY5pr4z7W6ofp74/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZjM4/NTQ1Zjg3YjZlMjAw/YmIxYzZiMTNiMzk2/YjdiOC5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}