Classical Language Models: Foundations and Applications

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Introduction to Modern Natural Language Processing

Introduces the course on Modern Natural Language Processing, covering its significance, applications, challenges, and advancements in technology.

Sequence to Sequence Models: Overview and Applications

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Transformers: Revolutionizing Attention Mechanisms in NLP

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Sequence to Sequence Models: Overview and Attention Mechanisms

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Recurrent Neural Networks: Training and Challenges

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Language Modelling and Recurrent Neural Networks

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Natural Language Generation: Understanding the Task and Techniques

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Ethical Considerations in Natural Language Processing

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Deep Learning for NLP Log in to Mediaspace to watch this video

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Natural Language Processing: Understanding Transformers and Tokenization Log in to Mediaspace to watch this video

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