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Covers the basics of text generation and the challenges of evaluating generated text using content overlap metrics, model-based metrics, and human evaluations.
Explores Monte Carlo techniques for sampling and simulation, covering integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance.
Covers Quantum Monte Carlo methods for strongly correlated systems, including helium properties, phase diagrams, imaginary time path integrals, and applications of Quantum Monte Carlo forces.