Practical AI

Amanda Wasielewski, an art historian at Uppsala University and author of "Computational Formalism, Art History and Machine Learning," reveals the fascinating overlap between art history and computer science. She discusses how computer scientists inadvertently resemble rogue art historians and how machine learning tools aid in research and art fraud detection. Key topics include the challenges of AI in classifying art, the ethical implications of generative technologies, and the impact of AI-generated visuals on societal trust and authenticity.

In this engaging discussion, Christof Henkel, a Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster, shares his transformative journey from academia to the competitive world of Kaggle. He explains how Kaggle competitions can supercharge a data scientist's career and skillset. Christof dives into the importance of GPU-accelerated tools like RAPIDS and DALI for boosting AI productivity. He also compares the dynamics of Kaggle competitions with real-world data science, emphasizing project management and teamwork as key to success.

In this engaging discussion, Beth Rudden, CEO of Bast.ai, shares her vision for conversational AI that prioritizes explainability and accountability. She delves into the risks of simplistic AI integrations, highlighting the necessity of grounding knowledge in AI responses. The conversation explores how hierarchical ontologies enhance query processing and the significance of user engagement for accessibility. Beth emphasizes the role of diverse perspectives in evolving AI applications and the potential of this technology to democratize understanding across different audiences.

Bryan McCann, Co-founder and CTO of You.com, dives into the evolution of AI search and natural language processing. He shares how You.com has been pioneering these technologies long before the ChatGPT craze. Topics include practical tips for developers on integrating language models into applications while managing user expectations. They explore the potential of AI to enhance creativity and discuss the importance of accuracy and transparency in AI-driven solutions. McCann encourages listeners to experiment with You.com's features for a richer interaction with AI.

Erik Bernhardsson, founder of Modal, shares insights on simplifying the often cumbersome transition from local AI development to production. He discusses the limitations of mainstream cloud solutions and how Modal's platform enhances deployment efficiency. The conversation covers serverless workflows for AI applications, focusing on how they help optimize costs and manage dependencies. Erik also highlights the importance of rapid feedback loops in enhancing developer productivity and explores future advancements in cloud AI solutions.

Dive into the fascinating world of generative AI as experts explore the rapid evolution and challenges of model behavior. Discover the balance of power between tech giants and the ethical dilemmas surfacing in AI applications. Learn how effective prompt design can drastically improve AI output, transforming user interactions. Practical strategies are shared for sharpening prompt skills, whether for text or image models. Tune in for insights that highlight the importance of preparation and clarity in navigating this exciting, yet complex landscape!

Jay Alammar, a prominent AI educator and applied NLP practitioner at co:here, shares insights on effective NLP solutions and the role of public writing in mastering machine learning. He discusses the balance between the reliability of advanced NLP models and their accessible integration into real-world applications. The conversation also covers the exciting advancements in multimodal models that merge text and image generation. Alammar emphasizes the importance of educational resources to foster innovation in AI.

In this engaging discussion, Erik Dunteman, the founder of Banana—a platform transforming serverless GPU accessibility—dives into the evolution of GPU technology for AI. He highlights the challenges developers face with GPU infrastructure and how serverless solutions are democratizing access. Erik unpacks auto-scaling dynamics based on user preferences, the importance of programming languages in AI workflows, and the shift towards personalized AI models. Tune in to learn how these innovations are revolutionizing machine learning!

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!

Beau Perschall, Director of Omniverse Sim Data Ops at NVIDIA, dives into the cutting-edge world of 3D environments and their role in simulation for AI. He demystifies the Omniverse, explaining how it combines 3D tech with AI for real-world applications like robotics and autonomous vehicles. The conversation highlights the significance of synthetic data and how tools like SimReady streamline the preparation of 3D assets. Beau also touches on the future of AI in this space, emphasizing collaboration across sectors to unlock its full potential.