ChatGPT

Описание к видео ChatGPT

Content:
00:20 Scope of using and interpreting different Languages in Chat GPT
02:48 GPT technology, in simple terms
07:18 Explain GPT complete form explanation
09:30 Reason for Hallucination in GPT models
10:06 How to avoid hallucination in GPT models
12:59 Transformer Neural Network
14:33 Computational Demand of Transformer
16:55 Traditional NLP Models before Transformers (CNN based)
17:54 AI Models limitations led to advanced research and innovations: Google Research (Attention is all you need!)
20:43 Neural network Connections, when compared to traditional machine learning models
23:26 Generations of AI Models
24:55 Where does GPT fall in the generation of AI?
25:18 Inappropriate questions asked to GPT

Description:

This video provides a detailed exploration of GPT models, covering topics such as the scope of using and interpreting different languages in ChatGPT, a simple explanation of GPT technology, and the reasons behind hallucinations in these models, along with tips to avoid them. It also delves into the workings of Transformer neural networks and their computational demands and contrasts them with traditional NLP models. The discussion further touches on the limitations of earlier AI models, innovations like Google's "Attention is All You Need," and where GPT fits within the generations of AI, concluding with considerations around the types of questions posed to GPT models.

About Speaker:
Dr. Miklos Vasarhelyi
Director, Rutgers Accounting Research Center & Continuous Auditing & Reporting Lab KPMG Distinguished Professor of Accounting Information Systems, Rutgers Business School

Professor Miklos A. Vasarhelyi is the KPMG Distinguished Professor of Accounting Information Systems and serves as Director of the Rutgers Accounting Research Center RARC) & Continuous Auditing & Reporting Lab (CAR Lab). He is credited with developing the original continuous audit application and is the leading researcher in this field. At Rutgers Business School, Professor Vasarhelyi heads the Continuous Auditing and Reporting Laboratory, which is working on projects for such leading companies as Siemens, KPMG, Procter & Gamble, D&B, AICPA, CA Technologies, Workiva, Morgan Stanley, and Brazil’s Itau-Unibanco. Vasarhelyi, who received his Ph.D.in Management Information Systems from UCLA, has published over 200 journal articles and 20 books, and has directed over 40 Ph.D. theses. He is the editor of the Artificial Intelligence in Accounting and Auditing series and the Journal of Emerging Technologies in Accounting (JETA). He has been named the Outstanding Accounting Educator by the AAA in 2013. The professor has also taught executive programs on AIS, audit automation, continuous audit, and electronic commerce to many large international organizations.

#chatgpt #ai #llm

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