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8
WK2
Semantic Intelligence Layer
· day 8/30
NLP Fundamentals
tasks
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CONCEPTS
›
embeddings
›
cosine similarity
›
transformer basics (no deep math)
BUILD
›
Understand how text becomes vectors
›
Manual cosine similarity example
TASKS
0%
01
Read: what are embeddings?
02
Implement cosine similarity from scratch
03
Test similarity on example sentences
OUTPUT
→
Understanding of vector similarity
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