ML in Production — learning path · Lensa ML

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ML in Production

Track 5 · Path · 4 explainers

ML in Production

Vector search, chunking and reranking, calibration, and data drift

1
Vector Search & HNSW
Finding nearest embeddings fast with HNSW
2
Chunking & Reranking for RAG
Splitting documents and reranking what RAG retrieves
3
Model Calibration
When a model's confidence matches how often it is right
4
Data Drift & Model Monitoring
Catching when live data stops matching training data

Machine learning and the math behind it, taught one interactive picture at a time.

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