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Explores the Boolean Satisfiability Problem and the Davis-Putnam-Logemann-Loveland algorithm, along with modern SAT solvers and efficient solving techniques.
Explores the Transformer model, from recurrent models to attention-based NLP, highlighting its key components and significant results in machine translation and document generation.