Lesson 1Ambiguity in Vector RepresentationsNavigating uncertainty and drift in word embeddings.Start2 Micro-lessonsMicro lesson 1Polysemy and Vector DriftMicro lesson 2False Confidence in Similarity Scores
Lesson 2Scaling and Domain ShiftJudging when embeddings fail under new data or scale.Start2 Micro-lessonsMicro lesson 1Domain Expansion and Embedding DecayMicro lesson 2Transfer Across Contexts
Lesson 3Interpreting and Acting on EmbeddingsResisting over-interpretation and premature action based on embeddings.Start2 Micro-lessonsMicro lesson 1Over-Interpretation of Embedding ClustersMicro lesson 2Premature Action on Embedding Signals