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Related lectures (32)

Page 3 of 4

Interpretability & Analysis: Modern NLP

Explores model interpretability in NLP, focusing on probing methods and local explanations to understand model predictions.

Coreference Resolution

Covers coreference resolution, models, applications, challenges, and advancements in natural language processing.

Multilingual NLP: Challenges and Innovations

Covers the importance of multilingual NLP and the challenges in scaling language models.

Foundations of Information Systems: Course Overview and Key Concepts

Introduces the course on information systems, covering its structure, objectives, and foundational concepts essential for understanding data management and decision-making.

Efficient Methods in Natural Language Processing

Explores the efficiency of training large language models and the environmental impact of AI.

Data-Driven Insights: NLP and AI Applications

Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.

Words and Tokens: Language Models and Probabilities

Reviews language models, tokenization, and probability estimation in NLP systems.

NLP Pre-processing: Tokenization, Stop Words, Lemmatization

Covers tokenization, stop words removal, and lemmatization for NLP tasks.

Scaling Language Models: Efficiency and Deployment

Covers the scaling of language models, focusing on training efficiency and deployment considerations.

Neuro-symbolic Representations: Commonsense Knowledge & Reasoning

Delves into neuro-symbolic representations for commonsense knowledge and reasoning in natural language processing applications.