主 講 人：美國圣塔克拉拉大學陸海兵教授
講座地點：E110
主辦單位：新葡萄8883官網AMG 浙江省2011“數據科學與大數據分析協同創新中心”
摘 要：This workshop provides a comprehensive introduction to natural language processing (NLP) with a focus on deep learning techniques. We will explore various aspects of NLP, including text classification, sentiment analysis, named entity recognition, machine translation, and language generation. We will also introduce massive pre-trained language models, which form the basis of all state-of-the-art systems across a wide range of tasks and have shown an impressive ability to generate fluent text and perform few-shot learning. As large language models are hard to understand and give rise to new ethical and scalability challenges, we will explore the fundamentals about the modeling, theory, ethics, and systems aspects of large language models.
內容：1. Overview of human language understanding & reasoning with demo of large language models
Introduction to NLP
ChatGPT Demo
Midjourney Demo
Prompt engineering
時 間：2023年6月26日早上8:30-11：00,下午14:00-16:30
內 容：2. Natural language processing I
Basic text processing
Document classification
Sentiment analysis
Native bayes
Information Retrieval
時 間：2023年6月27日早上8:30-11：00,下午14:00-16:30
內 容：3. Natural language processing II
Vector semantics and embeddings
Part of speech and named entity detection
Chatbot
Recommender systems
時 間：2023年6月28日早上8:30-11：00,下午14:00-16:30
內 容：4. Large language models
Word2vec
Sequence-to-sequence
Attention mechanisms
Transformer
BERT
時 間：2023年6月29日早上8:30-11：00,下午14:00-16:30
內 容：5. Ethical and Social Issues in Natural Language Processing
AI risks and ethics
Landscape of legal regulations
Principles of AI governance
Research directions
時 間：2023年6月30日早上8:30-11：00,下午14:00-16:30
主講人簡介：
陸海兵教授現任圣塔克拉拉大學運營管理和信息系統系的系主任，主要研究方向是大數據挖掘分析和信息安全。在國際頂級期刊和會議上發表了70多篇高引用率的論文。包括IEEE Transaction on Dependable and Security Computing , INFORMS Journal on Computing, Journal of Computer Security, IEEE Symposium on Security and Privacy, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, SIAM International Conference on Data Mining, IEEE International Conference on Data Mining,和IEEE International Conference on Data Engineering。
歡迎各位老師和同學積極參加！
