Machine Learning Pipelines: What No One Tells You About Building AI
summary
Practical overview of implementing machine-learning pipelines from real project experience, comparing four or five implementation approaches used in the AbadIA project. Covers pros and cons of technologies and patterns for production ML workflows, specifically Kubeflow, TensorFlow TFX, and rolling your own solution on Kubernetes (k8s).
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chapters (7)
- 0:00Introduction
- 2:32Building AI pipelines
- 12:30Data collection and training
- 21:23Pipeline architecture
- 30:35Serverless systems
- 36:00Demo and tools
- 47:01Q&A
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