Lectures related to Cache language model

Covers language models, n-gram models, smoothing techniques, and fixed-context neural models.

State Space Models: Expressivity of Transformers

Covers state space models and the expressivity of transformers in sequence copying tasks.

Classical Language Models: Foundations and Applications

Introduces classical language models, their applications, and foundational concepts like count-based modeling and evaluation metrics.

Musical Expectancy: Modeling and Transitions

Explores musical expectancy formation, modeling transitions in music, and computational challenges in representing musical structures, concluding with a study on Jazz harmony.

Language Models: Fixed-context and Recurrent Neural Networks

Discusses language models, focusing on fixed-context neural models and recurrent neural networks.

Natural Language Generation: Evaluating Text Quality

Covers the evaluation methods for natural language generation systems, including metrics and human assessments of generated text quality.