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.

• Section 1: Background: The journey of LLMs1. Evolution of AI2. Introduction to LLM3. Transformers: Detailed sequence of steps4. ChatGPT: The Prominent application of LLM5. The synergy between Deep Learning and LLMSection 2: The Trust Landscape and Building Trustworthy LLMs6. Explainable AI7. Foundation of Trustworthy LLM8. The trust Imperative: Why trust matters in AI9. Current State of LLM Trust: Gap and challenges10. Dimensions of Trustworthy LLM11. A Benchmark for Trustworthy LLM: TrustGPTSection 3: Exemplary testing for Dimensions of Trustworthiness12. Case Study: GPT-413. Case Study: OPT-1.3BSection 4: The Future of Trustworthy LLMs14. Key Challenges in Trustworthy LLM15. A Vision for a Trustworthy AI Future

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.

• Section 1: Background: The journey of LLMs1. Evolution of AI2. Introduction to LLM3. Transformers: Detailed sequence of steps4. ChatGPT: The Prominent application of LLM5. The synergy between Deep Learning and LLMSection 2: The Trust Landscape and Building Trustworthy LLMs6. Explainable AI7. Foundation of Trustworthy LLM8. The trust Imperative: Why trust matters in AI9. Current State of LLM Trust: Gap and challenges10. Dimensions of Trustworthy LLM11. A Benchmark for Trustworthy LLM: TrustGPTSection 3: Exemplary testing for Dimensions of Trustworthiness12. Case Study: GPT-413. Case Study: OPT-1.3BSection 4: The Future of Trustworthy LLMs14. Key Challenges in Trustworthy LLM15. A Vision for a Trustworthy AI Future

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.

• Section 1: Background: The journey of LLMs1. Evolution of AI2. Introduction to LLM3. Transformers: Detailed sequence of steps4. ChatGPT: The Prominent application of LLM5. The synergy between Deep Learning and LLMSection 2: The Trust Landscape and Building Trustworthy LLMs6. Explainable AI7. Foundation of Trustworthy LLM8. The trust Imperative: Why trust matters in AI9. Current State of LLM Trust: Gap and challenges10. Dimensions of Trustworthy LLM11. A Benchmark for Trustworthy LLM: TrustGPTSection 3: Exemplary testing for Dimensions of Trustworthiness12. Case Study: GPT-413. Case Study: OPT-1.3BSection 4: The Future of Trustworthy LLMs14. Key Challenges in Trustworthy LLM15. A Vision for a Trustworthy AI Future