Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Demetrios Brinkmann – XMihail Eric – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps.Community Something missing or broken? PRs welcome!

Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.comFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this! Featuring:Demetrios Brinkmann – XMihail Eric – Website, GitHub, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:MLOps.CommunitySomething missing or broken? PRs welcome! ★ Support this podcast ★

Computer vision researchers discuss YOLOv9 advancements in deep learning. Microsoft's 1-Bit LLMs and Qualcomm's AI Hub also highlighted. Explore the evolution of YOLO models, efficiency in computer vision models, and trends in model compactness for edge devices. Delve into AI model selection, deployment strategies, and practical AI advice for enthusiasts.

Chris Benson, Principal AI strategist at Lockheed Martin, and Daniel Whitenack, data scientist with SIL International, celebrate a remarkable milestone of 100 episodes. They delve into the evolution of AI, addressing the misconceptions of AGI while highlighting its diverse and practical applications, from trail camera systems to conversational agents. The discussion emphasizes ethical responsibilities in AI and balances imagination with pragmatism in the field. They reflect on their podcasting journey, community engagement, and the future challenges and opportunities in AI.

Chris Benson, Principal AI Strategist at Lockheed Martin, dives into the fascinating world where High Performance Computing (HPC) meets AI. He explains how HPC outshines traditional infrastructure and shares unique challenges in combining the two. The conversation highlights the complexity of HPC clusters and the environmental impact of machine learning models. Chris also emphasizes the evolving relationship between AI/ML and HPC, showcasing the importance of strategic partnerships in advancing technology.