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Modern Natural Language Processing: Core Methods and Applications
This lecture covers core methods in modern natural language processing, including word embeddings, recurrent neural networks, transformers, and text generation. It explores the challenges and opportunities in NLP, such as ethical considerations, robustness, and hallucination. The instructor discusses the latest advancements in NLP models, the importance of multimodal data, and the applications of NLP in various fields like medicine and law.
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