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Embeddings as features, not magic — step 3 of 7
ch 40 · unsupervised learning, embeddings, and recommenders
3/7
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phase 06 · ml systems
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ch 40 · unsupervised learning, embeddings, and recommenders
lesson 3 of 4 · embeddings as features, not magic
step 3 of 7 in this lesson
A zero-training classifier: each doc goes to its nearest anchor by cosine. What does this print?
your prediction
Check prediction
Or run the code →
Show hint 1
ch 40 · unsupervised learning, embeddings, and recommenders
3/7
promptdojo
_
›
phase 06 · ml systems
›
ch 40 · unsupervised learning, embeddings, and recommenders
lesson 3 of 4 · embeddings as features, not magic
step 3 of 7 in this lesson
A zero-training classifier: each doc goes to its nearest anchor by cosine. What does this print?
your prediction
Check prediction
Or run the code →
Show hint 1
park a thought