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Produktbild: Trustworthy Llms
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Trustworthy Llms Principles and Challenges

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.03.2027

Herausgeber

Mohit Kumar

Verlag

Elsevier

Seitenzahl

250

Maße (L/B)

23,5/19,1 cm

Sprache

Englisch

ISBN

978-0-443-49181-8

Beschreibung

Portrait

Mohit Kumar, PhD is Assistant Professor in the Department of Information Technology at Dr. B R Ambedkar National Institute of Technology, Jalandhar, India. He received his Ph.D. degree from Indian Institute of Technology Roorkee in the field of Artificial Intelligence and Cloud Computing, 2018, and M. Tech degree in Computer Science and Engineering from ABV-Indian Institute of Information Technology Gwalior, India in 2013. He has received his B. Tech degree in Computer Science and Engineering from MJP Rohilkhand University Bareilly, 2009. His research topics cover the areas of Cloud computing, Fog/ Edge Computing, Internet of Things, federated learning, Blockchain, and Artificial Intelligence. Dr Mohit received best faculty award in NIT Jalandhar for academic session 2022-2023. He has published more than 100 research articles in reputed journals, IEEE Transactions and international conferences. He has been Session chair and keynotes Speaker of many International conferences, webinars, FDP, STC in India. He has guided six M. Tech Thesis and guiding 6 Ph.D. Scholars. He has been listed in the prestigious Top 2% of Scientists in the world (2023, 2024) announced by Elsevier and Stanford University, United States. He is editorial board member of several reputed journals such as scientific report (SCIE), discover computing (SCIE) and Discover Artificial Intelligence (Scopus indexed). He is an active reviewer of several reputed journals and international conferences. He is a member of the IEEE.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.03.2027

Herausgeber

Mohit Kumar

Verlag

Elsevier

Seitenzahl

250

Maße (L/B)

23,5/19,1 cm

Sprache

Englisch

ISBN

978-0-443-49181-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Trustworthy Llms
  • Section 1: Background: The journey of LLMs
    1. Evolution of AI
    2. Introduction to LLM
    3. Transformers: Detailed sequence of steps
    4. ChatGPT: The Prominent application of LLM
    5. The synergy between Deep Learning and LLM

    Section 2: The Trust Landscape and Building Trustworthy LLMs
    6. Explainable AI
    7. Foundation of Trustworthy LLM
    8. The trust Imperative: Why trust matters in AI
    9. Current State of LLM Trust: Gap and challenges
    10. Dimensions of Trustworthy LLM
    11. A Benchmark for Trustworthy LLM: TrustGPT

    Section 3: Exemplary testing for Dimensions of Trustworthiness
    12. Case Study: GPT-4
    13. Case Study: OPT-1.3B

    Section 4: The Future of Trustworthy LLMs
    14. Key Challenges in Trustworthy LLM
    15. A Vision for a Trustworthy AI Future