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Daniel Whitenack

Data scientist at SIL International and co-host of Practical AI.

Top 5 podcasts with Daniel Whitenack

Ranked by the Snipd community
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14 snips
Feb 7, 2023 • 57min

MLOps is alive and well (Practical AI #210)

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!
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10 snips
Feb 7, 2023 • 57min

MLOps is alive and well

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 ★
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Mar 6, 2024 • 43min

YOLOv9: Computer vision is alive and well (Practical AI #259)

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.
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Jan 18, 2025 • 1h 22min

AI & Bible Translation Panel Discussion - Redemptive AI

Join Michael Martin, a software engineer from SIL, Daniel Whitenack, CEO of Prediction Guard, Joel Matthew, a USC research engineer, and Roger Hanna, a seasoned translation consultant with Wycliffe. They discuss the transformative potential of AI in Bible translation, exploring ethical responsibilities and the importance of human involvement. The panel highlights innovative applications of AI across over 300 projects, the crucial need for quality assurance, and the benefits of collaboration among organizations to ensure that technology serves to advance the gospel responsibly.
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May 7, 2021 • 1h 2min

Elixir meets machine learning (Interview)

José Valim, the creator of Elixir, teams up with Daniel Whitenack, co-host of the Practical AI podcast, to dive into the innovative Numerical Elixir project. They explore how Elixir merges with machine learning, showcasing a live demo of building a neural network classifier. The duo discusses the challenges of GPU integration, the evolution of Elixir for AI, and the user-friendly Axon framework. Their insights highlight a vibrant community and encourage developers to explore the exciting potential of machine learning beyond Python.