Concept Drift in Large Language Models: Adapting the Conversation
暫譯: 大型語言模型中的概念漂移：調整對話
Desale, Ketan Sanjay
商品描述
This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the transformative power of cutting-edge models such as GPT-3.5 and GPT-4. It offers real-world case studies to observe firsthand how concept drift influences the performance of language models in a variety of circumstances, delivering valuable lessons learnt and actionable takeaways. The book is designed for professionals, AI practitioners, and scholars, focused on natural language processing, machine learning, and artificial intelligence.
- Examines concept drift in AI, particularly its impact on large language models
- Analyses how concept drift affects large language models and its theoretical and practical consequences
- Covers detection methods and practical implementation challenges in language models
- Showcases examples of concept drift in GPT models and lessons learnt from their performance
- Identifies future research avenues and recommendations for practitioners tackling concept drift in large language models
商品描述(中文翻譯)
這本書探討了概念漂移與尖端大型語言模型之間複雜關係的應用，以解決在變化數據環境中導航所面臨的問題和機會。它討論了概念漂移的理論基礎及其對大型語言模型的影響，特別是尖端模型如 GPT-3.5 和 GPT-4 的變革力量。書中提供了真實案例研究，以親身觀察概念漂移如何影響語言模型在各種情況下的表現，並提供寶貴的經驗教訓和可行的收穫。該書旨在為專業人士、人工智慧從業者和學者設計，重點關注自然語言處理、機器學習和人工智慧。
- 檢視人工智慧中的概念漂移，特別是其對大型語言模型的影響
- 分析概念漂移如何影響大型語言模型及其理論和實際後果
- 涵蓋語言模型中的檢測方法和實施挑戰
- 展示 GPT 模型中概念漂移的例子及其表現所帶來的教訓
- 確定未來的研究方向和對於應對大型語言模型中概念漂移的從業者建議
作者簡介
Dr. Ketan Sanjay Desale is a distinguished researcher and educator in the field of computer science, with a specialized focus on artificial intelligence, machine learning, and concept drift detection. Holding a Ph.D. in Computer Engineering, he has built a reputation for his impactful research and commitment to advancing the discipline through both academic and practical applications.
Currently serving as an Assistant Professor at Department of Computer Engineering of Pimpri Chinchwad College of Engineering (PCCOE), Pune, India. His contributions to the field are evidenced by his impressive record of publications in esteemed international journals, many of which are indexed in Scopus. Dr. Desale is an active participant in the academic community, regularly presenting his findings at national and international conferences.
Dr. Ketan Desale is also the Digital Marketing Head at Pimpri Chinchwad Education Trust (PCET) and serves as the Associate Dean of Management Information Systems (MIS) at Pimpri Chinchwad College of Engineering (PCCOE). In these roles, he leverages his expertise to enhance the institution's digital presence and streamline management information systems, ensuring that both faculty and students benefit from efficient, data-driven decision-making processes. His leadership in these areas reflects his commitment to integrating technology into educational management, ultimately fostering a more innovative and responsive academic environment.
Dr. Ketan Desale's academic influence is complemented by his online presence, where he actively shares his research and insights. His profiles on platforms such as Google Scholar, Scopus, and Web of Science highlight his contributions to the scientific community. To learn more about his work, you can visit his personal website or connect with him on LinkedIn.
作者簡介(中文翻譯)
Dr. Ketan Sanjay Desale 是計算機科學領域的傑出研究者和教育工作者，專注於人工智慧、機器學習和概念漂移檢測。他擁有計算機工程的博士學位，以其有影響力的研究和對推進該學科的學術及實踐應用的承諾而聞名。
目前，他擔任印度浦那的 Pimpri Chinchwad 工程學院 (PCCOE) 計算機工程系的助理教授。他在該領域的貢獻體現在他在多個受尊敬的國際期刊上發表的驚人數量的論文，其中許多論文已被 Scopus 索引。Dr. Desale 積極參與學術社群，定期在國內外會議上發表他的研究成果。
Dr. Ketan Desale 也是 Pimpri Chinchwad 教育信託 (PCET) 的數位行銷主管，並擔任 Pimpri Chinchwad 工程學院 (PCCOE) 管理資訊系統 (MIS) 的副院長。在這些角色中，他利用自己的專業知識來增強機構的數位存在感，並簡化管理資訊系統，確保教職員和學生都能從高效的數據驅動決策過程中受益。他在這些領域的領導力反映了他將技術整合到教育管理中的承諾，最終促進一個更具創新性和反應能力的學術環境。
Dr. Ketan Desale 的學術影響力還通過他的線上存在得以增強，他積極分享自己的研究和見解。他在 Google Scholar、Scopus 和 Web of Science 等平台上的個人資料突顯了他對科學社群的貢獻。要了解更多他的工作，您可以訪問他的個人網站或在 LinkedIn 上與他聯繫。
