Titlebook: Landslide Science and Practice; Volume 5: Complex En Claudio Margottini,Paolo Canuti,Kyoji Sassa Book 2013 Springer-Verlag Berlin Heidelber

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https://doi.org/10.1007/978-1-4419-7784-7te a performance predicting the current dialogue by prompting an LLM using the summarization model in contrast to the whole past dialogue. Through all the evaluation, the results suggest that the proposed prompt design is useful for dialogue generation using LLMs.

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J. M. Giesler,D. Thums,S. Lorenz,P. Kuttertheir deeper understanding of the material. Exercises are denoted by degree of difficulty. Instructors teaching courses that include one or all of the above-mentioned topics will find the exercises of great hel978-3-319-80221-3978-3-319-27817-9Series ISSN 0941-3502 Series E-ISSN 2197-8506

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Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/e/image/308503.jpg

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,A Framework for Early Recognition of Alzheimer’s Using Machine Learning Approaches,s disease is extremely crucial for disease prevention. Recently, the developers proposed a pre-selection technique for measuring image similarity. However, this method has a high computation time and a lengthy process. As a result, propose a novel machine learning framework for classifying Alzheimer