This week on TotR we chatted with Dean 🐶 of DagsHub , about MLOps, experiment tracking & data versioning. ➕ 3 tiers of ML data versioning Experiment tracking as "smart Excel" Versioning changing data Tracking experiments vs managing models 🔗 techontherocks.show/4

Nobel Burn Prize 🔥

Excited for my end of year US tour 🇺🇸! Starting with @_ODSC West in SF—I'll be giving a talk about 'Active Learning & Auto Labeling with YOLO'. Then heading to Austin for MLOps World | GenAI Summit & NYC. If you're around, let's grab a coffee! ☕ #ODSCWest #MLOpsWorld

🚀 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

Building a high-performing model is only half the battle—making it useful and cost-effective in the real world is where the real challenge lies. I just had a great conversation with Natanel Davidovits, an AI/ML veteran who has led data science teams at companies like Nike and

Today I realized the true power of AI. We could have AIs inventing new React state management libraries every day, and other AIs implementing apps with them and complaining. Put it on a blockchain, proof of npm slop.

When we think of machine learning, our minds often go to the models, algorithms, or predictions that seem almost magical. However, as someone with experience in the field, I can confidently say this: no magic happens without the foundation of quality data labeling. Over the

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.

X Premium support is so annoying. I tried to upgrade, it won't let me pay, and the support keeps telling me it's escalating me to a human, only to yet again send me a link for submitting a refund. Why is it so hard to pay you? Elon Musk

Experiment tracking is often messy. Comparing runs, spotting key differences, and reproducing results takes way too much time. We just upgraded our Experiment UI to show diffs, zoom on charts, and reproduce everything with 1 click Check it out and let me know what you think.

Bootstrapping my self reinfocing feedback loop Updates to follow

Got off the plane in San Jose for #GTC25, suddenly realized that it's close to St Paddy's day and that I'm accidentally well dressed for it

Excited to announce our $25M Series A to bring AI + shared data to a critical bottleneck in drug discovery: designing molecules that actually work.

Just dropped a new episode of the MLOps podcast! I sat down with Liron Itzhakhi Allerhand, PhD in AI, ex-Microsoft, and someone who’s actually shipped LLMs to production — multiple times. 🎧 Listen here → https:// dagshub . com /blog/practical-building-llm-applications

AI agents capable of autonomously performing tasks on our behalf remain limited but hold transformative potential for freeing human creativity. Dean 🐶 on AI & the Future from ep.4

איך אפשר לקיים מחקר בסביבה סגורה ומבודלת? אחד האתגרים הכי גדולים שיש בתחום הדיפנס זה הדגש הרב על מידור ועל אבטחת מידע. כל אלה מכניסים אתגרים מאוד משמעותיים בתהליך האימון וישנן מגבלות שלא קיימת על חברות "רגילות". ההרצאה של אריאל עוסקת בדיוק בזה :) לינק: machinelearning.co.il/lp-events/defe…

עובדים על סטארטאפ ותקועים ב-ideation? זה בשבילכם! ארגון ICON מתחיל תכנית חדשה בשם Spark במטרה להכין אתכם להקים סטארטאפ. מי שיתקבל לתכנית ישתתף בחמישה ימים אינטנסיביים של ליטוש הרעיון, בניית הסיפור והצוות, וכל זה בליווי מנטורים מובילים בשוק. גם אני אהיה שם. אין התחייבות, אין