Demetrios Brinkmann, an active voice in the MLOps community, dives into the intricacies of fine-tuning versus retrieval-augmented generation. He outlines findings from the LLM survey, sharing insights on generative AI applications and the challenges of model evaluation. The discussion highlights the need for simplicity in AI implementation and the varying adoption strategies of startups versus large organizations. Demetrios also emphasizes the importance of community engagement and diversity in tech events, making a compelling case for collaboration in MLOps.

Demetrios Brinkmann, known as “the funniest guy in AI,” shares insights from the MLOps Community's latest survey. The conversation dives into the rise of Retrieval-Augmented Generation (RAG) and its advantages over traditional methods. They explore how RAG engages non-technical users and tackle the challenges of AI implementation, particularly with chatbots. With a nod to the future, the topic of neuromorphic computing sparks intrigue as they discuss potential advancements that could reshape AI technology.

Demetrios Brinkmann, AI strategist at Uber, discusses the evolution of Michelangelo platform at Uber, from basic ML predictions to deep learning and generative AI. Covering challenges faced in early versions and improvements in Michelangelo 2.0 and 3.0 like Pytorch support, enhanced model training, and integration of technologies like Nvidia’s Triton and Kubernetes. The platform now includes features like a Genai gateway, compliance guardrails, and model performance monitoring to streamline AI operations.

Discover how Demetrios Brinkmann transitioned from teaching to founding the MLOps Community. Explore the role of MLOps in the ML lifecycle and the debate between specialized vs generalizing language models. Learn about the business implications of relying on OpenAI and the activities of the MLOps Community, including live events, podcasts, and new courses on generative AI.

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 ★

Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community, leads a lively discussion with expert guests: Erica Greene from Yahoo News, Matar Haller of ActiveFence, Mohamed Elgendy from Kolena, and freelance data scientist Catherine Nelson. They dive into the intricacies of ML model testing, particularly around hate speech detection. The conversations reveal the unique challenges of AI quality assurance compared to traditional software, the importance of tiered testing, and strategies for balancing swift AI product releases with safety measures.

Daniel & Chris chat with 'the funniest guy in AI', Demetrios Brinkmann, discussing results of the MLOps Community survey and the upcoming AI Quality Conference. Topics include RAG models, generative AI workloads, transformer architecture, and neuromorphic computing.

Demetrios Brinkmann, co-founder of the global MLOps Community, shares insights on separating AI hype from reality. He discusses building an expansive tech network during the pandemic and the importance of shared learning in machine learning. The conversation dives into the transformative role of AI agents in software development, highlighting cost reductions and accessibility. Brinkmann also addresses the ethical implications of AI in business and HR, and the need for authenticity in vendor-community relationships to foster genuine engagement.

Demetrios Brinkmann, a member of the MLOps Community and a frequent voice in AI discussions, joins Daniel and Chris for a lively chat about the 2024 Gartner Hype Cycle. They humorously dissect the hype surrounding various AI technologies, like cloud AI services and generative AI. The trio highlights the absence of ethical considerations in the cycle and debates the practical limitations of small models in consumer devices. With engaging insights, they question the future of sustainable AI and the role of community in navigating these innovations.