Llms: Introduction, Background, Applications, Challenges, Limitations and Future Scope
暫譯: LLM：簡介、背景、應用、挑戰、限制與未來發展方向
Tyagi, Amit Kumar
- 出版商: CRC
- 出版日期: 2026-09-28
- 售價: $5,550
- 貴賓價: 9.5 折 $5,272
- 語言: 英文
- 頁數: 434
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041298501
- ISBN-13: 9781041298502
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相關分類:
Large language model、Natural Language Processing
海外代購書籍(需單獨結帳)
相關主題
商品描述
In today's era, Large Language Models (LLMs) are advanced AI systems that are trained on large amounts of text data, to understand and generate human-like language. These systems built on transformer architectures have evolved from traditional NLP (Natural Language Processing) models to powerful tools that enable tasks like translation, summarization, coding, and conversational agents, etc., to make human life easier and convenient. Today we have different types of LLMs models in different areas to automate tasks, make predictions or perform tasks with help of AI. Today's LLMs are widely used in different sectors like healthcare, education, finance, and cybersecurity, etc. However, LLMs face several challenges like bias, hallucination, high computational cost, and data privacy issues. Also, some limitations include a lack of true reasoning and dependence on training data quality. With this, some future scope lies with improving explainability, efficiency, domain adaptation, and integrating multimodal capabilities for more reliable and context-aware intelligent systems.
商品描述(中文翻譯)
在現今時代，大型語言模型（Large Language Models，LLMs）是以大量文字資料訓練而成的先進 AI 系統，能夠理解並生成類似人類的語言。這些建構於 transformer 架構之上的系統，已從傳統的自然語言處理（Natural Language Processing，NLP）模型，演變為功能強大的工具，可執行翻譯、摘要、程式碼撰寫及對話代理程式等任務，讓人類生活更加便利。如今，不同領域中已有各種類型的 LLM 模型，可運用 AI 自動化工作、進行預測或執行各種任務。現代 LLM 廣泛應用於醫療保健、教育、金融及網路安全等不同產業。然而，LLM 仍面臨多項挑戰，例如偏見、幻覺、高昂的運算成本及資料隱私問題。此外，其限制還包括缺乏真正的推理能力，以及對訓練資料品質的依賴。未來的發展方向包括提升可解釋性、效率及領域適應能力，並整合多模態功能，以打造更可靠且具備情境感知能力的智慧系統。
作者簡介
Amit Kumar Tyagi is working as an Assistant Professor, at National Forensic Sciences University, Gandhinagar, Gujarat, India. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, India. Regarding his academic experience, he has worked as an assistant professor at several institutes like Lord Krishna College of Engineering (LKCE), Ghaziabad (for the periods of July 2009-July 2010, and October 2012-October 2013), Lingaya's Vidyapeeth (formerly known as Lingaya's University), Faridabad (September 2018-May 2019), VIT Chennai (June 2019-November 2022) and NIFT New Delhi (November 2022-September 2025). His current research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is also a senior member of IEEE.
作者簡介(中文翻譯)
Amit Kumar Tyagi 目前任職於印度古吉拉特邦 Gandhinagar 的 National Forensic Sciences University，擔任助理教授。他於 2018 年取得印度 Pondicherry Central University 的全職博士學位。
在學術經歷方面，他曾於多所學術機構擔任助理教授，包括 Ghaziabad 的 Lord Krishna College of Engineering（LKCE）（2009 年 7 月至 2010 年 7 月，以及 2012 年 10 月至 2013 年 10 月）、Faridabad 的 Lingaya's Vidyapeeth（前身為 Lingaya's University）（2018 年 9 月至 2019 年 5 月）、VIT Chennai（2019 年 6 月至 2022 年 11 月），以及 NIFT New Delhi（2022 年 11 月至 2025 年 9 月）。
他目前的研究方向聚焦於次世代機器型通訊（Next Generation Machine Based Communications）、Blockchain Technology、智慧與安全運算（Smart and Secure Computing）以及隱私。他也是 IEEE 資深會員。
