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The IN4080 course offers a comprehensive introduction to Natural Language Processing (NLP), focusing on probabilistic and machine learning techniques. It covers methodologies for conducting experiments with language data and evaluating results, alongside typical NLP applications such as information extraction and machine translation. Students will also explore the steps involved in a typical NLP system, preparing them for a master's thesis in Language Technology.
Upon completion, students will gain familiarity with key NLP applications and research methods, enabling them to conduct machine learning experiments and evaluate outcomes. The course structure includes lectures, lab sessions, and mandatory projects, culminating in a written digital exam. This rigorous approach ensures that students are well-equipped with both theoretical knowledge and practical skills in NLP.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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