AAIF Live

Declarative MLOps - Streamlining Model Serving on Kubernetes // Rahul Parundekar// MLOps Meetup #123

ML Scalability Challenges // Waleed Kadous // MLOps Podcast # 154

ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip

Formula for Successful Jupyter Notebook Deployment // Keith Trnka // MLOps Podcast #148 short clip

Tecton 0.6: Notebook-driven Development // Jason Dunne // MLOps Meetup #122

Code Modularization Techniques // Rodolfo Núñez // MLOps Podcast #153 short clip

Multilingual Programming and a Project Structure to Enable It // Rodolfo Núñez // MLOps Podcast #153

How A Manager Became a Believer in DevOps for Machine Learning // Keith Trnka // MLOps Podcast #152

Airflow Sucks for MLOps // Stephen Bailey // MLOps Podcast #141

Prioritizing Needs in ML Platform Design // Jean-Michel Daignan // MLOps Podcast #151 short clip

Jean-Michel Daignan, data scientist chez Ubisoft, préconise une approche pragmatique et modérée lors de la mise en œuvre d'une plateforme de machine learning (ML). La gestion des attentes s'avère cruciale, car l'intégration systématique de toutes les nouvelles technologies nuit à la scalabilité et augmente les coûts de...

ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151

Large Language Models in Production Round-table Conversation

The Trustworthy Chatbot Search Engine // Saahil Jain // MLOps Podcast #151 clip

Optimizing ML Capabilities for Business Success // Jason McCampbell // MLOps Podcast #149 clip

The 7 Lines of Code You Need to Run Faster Real-time Inference // Adrian Boguszewski // Meetup #121

Defining Intelligence in Artificial Intelligence // Karl Fezer // MLOps Podcast # 148 clip

Let's Talk About Raw Documents // Crag Wolfe // MLOps Meetup #120

The Power of Representation in Stakeholder Conversations // Shalabh Chaudri // MLOps Pod #146

AWS Dev and Pro Management // Sahil Khanna // MLOps Podcast #145 clip

Machine Learning Care // Matthew Dombrowski // MLOps Podcast #142 clip