Lecture

Modern NLP and Ethics in NLP

Description

This lecture explores the advancements in Natural Language Processing (NLP), including pretraining and scale, as well as the new challenges such as prompting, knowledge & reasoning, and robustness. It delves into the ethical considerations surrounding large language models, the implicit encoding of biases, and the potential harms like toxicity, disinformation, and privacy breaches.

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Official source

https://mediaspace.epfl.ch/media/0_wgpqivxg

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

Machine learning: Artificial neural networks

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