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[] Measuring drift of unstructured data
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Classroom Contents
Monitoring Unstructured Data - Lightning Session
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- 1 [] Introduction to the topic
- 2 [] Troubleshooting unstructured ML models is difficult
- 3 [] Challenges with monitoring unstructured data
- 4 [] How data looks like
- 5 [] Embeddings are the backbone of unstructured models
- 6 [] ML teams need a common tool
- 7 [] What are embeddings?
- 8 [] The real WHY behind AI
- 9 [] ML observability for unstructured data
- 10 [] Index and Monitor every Embedding
- 11 [] Measuring drift of unstructured data
- 12 [] Interactive visualizations
- 13 [] Fix underlying data issue
- 14 [] Data-centric AI workflow
- 15 [] Demo of the product
- 16 [] Wrap up
