🌟 Exciting News Alert! 🌟 After months of hard work, we're thrilled to unveil the groundbreaking DagsHub Data Engine - Empowering you to manage and improve your unstructured datasets like never before! 🚀💡 #DataEngine #UnstructuredData

Active learning and auto-labeling automate improving data quality. Using models to annotate data, minimizes the need for manual labeling and enables teams to focus on reviewing only lower-quality samples.

https://t.co/G4w9eAnoIH

💡 Perfect for teams & individuals looking to streamline their labeling process and implement active learning. Spend less time on setup, more time on improving your models. Try it out:

🛠️ Key features: - Easy & fast integration of MLflow models with Label Studio ML backend - Pre-configured models for common tasks - Custom hooks for your own models - Works with DagsHub's free hosted instances No more complex setups for auto-labeling!

🚀 Excited to announce our new open-source tool that simplifies auto-labeling workflows! It seamlessly connects MLflow models to Label Studio, making ML engineers' lives easier. #MachineLearning #OpenSource #ActiveLearning

We've enhanced our experiment tracking to let you see your model's predictions and outputs as they evolve during training Visual insight into model behavior is critical, yet overlooked in ML workflows. We're introducing an integrated experiment artifacts view on @TheRealDagsHub

How can ML revolutionize ER diagnostics? I'm chatting with Ljubomir Buturovic, VP of ML at @Inflammatix_Inc, about using ML to diagnose ER infections. • Robust diagnostic/prognostic models • Data heterogeneity challenges • Edge device ML deployment https://t.co/GoDZ14x6Ek

🚀 Excited to share my latest article for @TheRealDagsHub : "Best Data Annotation Tools for Machine Learning That You Need to Know"! 📝 Check out the full article here: https://t.co/zHZoy0QlFS #MachineLearning #DataScience #AI #DataAnnotation #DagsHub #Tech #Innovation

I’m really proud to share our amazing partnership results with @MACSO_NZ. Their ambitious ML team led by Hwan is doing mind-blowing work at the intersection of AI, edge computing, AgTech, and more.

I'm heading to the 🇺🇸 US in June and I'd love to meet you if you're into AI and MLOps like me! I'll be in San Francisco from June 9-16 for the @databricks Data+AI Summit and then in Seattle from June 18-21 for @CVPR.

🚀 New Podcast Episode Alert! 🚀 1/7 🎙️ Excited to share my latest episode featuring @idangazit, Senior Director of Research at @github Next!

Also, if you prefer, here's an example notebook that showcases all the cool capabilities: https://t.co/om5aZ0YIm8

DagsHub Storage Buckets are S3-compatible and offer unparalleled file viewing & access control. Perfect for ML workflows! Easy upload, sync, and mount functionalities are now a reality with DagsHub Storage Buckets! Manage your ML data like never before. https://t.co/NcNRTVHlcJ

Today, we’re excited to launch a deeper partnership with @GoogleColab and DagsHub Storage Buckets 🎉 - A Google Drive alternative for ML workflows and scale.

DagsHub helped Forcura overcome a few significant challenges: 🏃‍♂️ Reduce annotation time by 4x 🚀 50% increase in operation speed with better data pipelines 🔐 Achieving AI policy compliance in 4 weeks We're excited to continue working with the team https://t.co/ok8DjfmmQ4

We're very excited to share our latest case study with @Forcura! The team at Forcura is building innovative solutions that use ML to make healthcare cheaper, faster & with better clinical outcomes! Excited DagsHub could play a small part in accelerating their important mission.

🎙️Excited to launch our newest #MLOpsPodcast episode with the amazing @HanchungLee! We're getting into the nitty-gritty of NLP and LLMs, making sense of where AI is headed. 🌟 Check it out:

🚀 AnimateDiff-Lightning is a lightning-fast text-to-video generation model. 🥳 Thanks to Shanchuan Lin ❤ Xiao Yang ❤ AnimateDiff-Lightning weights are now available on 🐶 @TheRealDagsHub 📦model: https://t.co/XKC6EW8LBH 📄paper: https://t.co/TFVG1jTCyf

🚨 For all professionals in the healthcare industry! 🚑 Check out the latest #TheMLOpsPodcast episode on AI in medical devices with Mila Orlovsky. Learn about collecting data to build edge case datasets, AI that meets regulatory standards, and much more https://t.co/c8F6uqLWwm

🌟 Just crossed 1000 followers for The MLOps Podcast on Spotify! 🌟 I thought this is a good opportunity to say thanks + share a teaser for the upcoming episode (launching Thursday)!