Overview
Syllabus
[] Harcharan's preferred coffee
[] Takeaways
[] Against local LLMs
[] Creating bad habits
[] Operationalizing RAG from CICD perspective
[] Kubernetes vs LLM Deployment
[] Tool preferences in ML
[] DevOps perspective of deployment
[] Terraform Licensing Controversy
[] PR Review Template Guidance
[] People processes tech order
[] Register for the Data Engineering for AI/ML Conference now!
[] ML monitoring strategies explained
[] Serverless vs Overprovisioning
[] Model SLA's and Monitoring
[] LLM to App transition
[] Ensuring Robust Architecture
[] Chaos engineering in ML
[] Wrap up
Taught by
MLOps.community