Natural Language Generation: Task

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Related lectures (30)

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Statistics & Experimental Design

Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.

Random Variables: Expected Value

Covers advanced probability concepts, including random variables and expected value calculation.

Probability & Stochastic Processes

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Sampling: maximum likelihood estimation

Explores sampling in maximum likelihood estimation and its implications on the joint probability and likelihood contribution.

Text Generation: Basics and Evaluation

Covers the basics of text generation and the challenges of evaluating generated text using content overlap metrics, model-based metrics, and human evaluations.

Thermodynamics and phase space sampling

Covers the computation of observables through probability distributions and the significance of efficient importance sampling in simulations.

Transformer Architecture: Subquadratic Attention Mechanisms

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Probabilities and Statistics: Key Theorems and Applications

Discusses key statistical concepts, including sampling dangers, inequalities, and the Central Limit Theorem, with practical examples and applications.

Empirical Estimation: Distribution Estimation

Covers methods to estimate probability distributions from samples.

Hydrologic and Hydraulic Design

Explores the design of engineering works for floods, focusing on 100-year flood determination and the collapse of levees during extreme events.