Stay updated with DagsHub’s latest podcast, EU AI Act insights, active learning pipeline tips, case study, and platform enhancements for August 2023.
Hello and welcome to the August edition of Pawesome Updates! We’ve been hard at work here at DagsHub to bring you some exciting developments in the world of machine learning and data science. Let’s dive right in!
💻 Dev Updates
Our development team has been hard at work, bringing you exciting new features and improvements:
Create and save notebooks to your repository using ColabMirror repository syncs got a performance boost! They should now sync much faster 🙂DagsHub’s flavored Label Studio now offers improved text annotation templates that are ready to use.
Coming soon: We’re actively working on adding support for DVC 3, so stay tuned for the latest updates!
🎧 Podcast: Exploring Large Scale Video ML at WSC Sports
In this episode, we had the privilege of sitting down with Yuval Gabay from WSC Sports to discuss the fascinating world of large-scale video machine learning. Tune in to hear about the challenges, opportunities, and insights in this dynamic field.
Listen to the podcast here:
The podcast is also available via your favorite podcast app
🔍 Active Learning Pipeline with Data Engineering
Are you curious about building an active learning pipeline? Look no further! Our latest blog post delves into the intricacies of constructing an active learning pipeline with a focus on data engineering. Learn how to leverage this powerful technique to enhance your machine learning models.
Read the blog post here: Building an Active Learning Pipeline with Data Engineering
📰 The EU AI Act: Why You Should Care
The EU AI Act is making waves in the AI and tech communities. Our informative blog post breaks down the key aspects of the EU AI Act and explains why it matters to you. Stay informed about the latest regulations shaping the AI landscape.
Read the blog post here: Why You Should Care About the EU AI Act Today
🚀 Case Study: CY4GATE Improves Model Deployment Efficiency
Discover how CY4GATE enhanced their model deployment efficiency with DagsHub. Our case study showcases real-world examples of how organizations can streamline their machine learning workflows, improve collaboration, and achieve more effective model deployments.
Read the case study here: CY4GATE – Improve Model Deployment Efficiency
Stay connected with DagsHub as we continue to refine and enhance your experience on our platform. Keep an eye out for more updates, news, and exciting developments in the world of machine learning and data science.
That’s it for this edition of Pawesome Updates. Thank you for joining us, and remember to stay curious and keep exploring the world of data and AI!
Keywords: DagsHub, podcast, active learning, EU AI Act, case study, development updates
