Atlas · GenAI 2026
NLP
NLP foundations (tokenization, embeddings, semantic similarity)
conceptPeak: 2019NLP FoundationsAI consensus: 2/3
Prerequisites
- hardLinear Algebra
Embeddings ARE vectors; cosine similarity IS a dot product; tokenization maps to vocabulary indices — NLP is applied linear algebra
Recommended reference
Jurafsky & Martin (2024) Speech and Language Processing, 3rd ed. draft — free at web.stanford.edu/~jurafsky/slp3; Ch.6 on embeddings, Ch.2 on tokenization
Notes from AI deep research
Anthropic Opus
Jurafsky & Martin SLP3 = biblia. Tokenizacja, embeddingi, similarity — fundament RAG
OpenAI Deep Research
Podstawa RAG; chunking, dystanse, jakość [OA#6]
Google Deep Think
Tokenizacja jako fundament [G implied]
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