Overview
Syllabus
[] AI Quality: First in-person conference on June 25
[] Salman's preferred coffee
[] Takeaways
[] Please like, share, leave a review, and subscribe to our MLOps channels!
[] Challenges that inspired Salman's work
[] Controlled ownership
[] Dealing with data leakage and privacy problem
[] In-house ML Model Deployment
[] FedML: Comprehensive Model Deployment
[] Integrating FedML with Kubernetes
[] AI Evaluation Trends
[] Enhancing NLP with ML
[] FedML: Canary, A/B, Confidence
[] FedML customers
[] On-premise platform for secure data management
[] Future prediction: data's crucial for better applications
[] Maturity in evaluating and improving steps
[] Focus for ownership
[] Benefits of smaller models for specific use cases
[] Verify sensitive tasks, trust quick, important mobile content creation
[] Wrap up
Taught by
MLOps.community