| Description |
1 online resource (240 p.) |
| Contents |
Intro -- Cover Page -- Title Page -- Copyright Page -- Dedication Page -- About the Authors -- About the Reviewer -- Acknowledgements -- Preface -- Errata -- Table of Contents -- 1. Introduction to ChatGPT -- Introduction -- Technical overview of ChatGPT -- Applications of ChatGPT -- ChatGPT in business settings -- Points to remember -- 2. History Of Generative Models -- Introduction -- History of generative AI -- Developments in Generative AI -- Evaluating Generative AI -- Applications of Generative AI -- Points to remember -- 3. Generative AI in Banking and Finance -- Introduction |
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Applications and Use Cases -- Fraud Detection and Risk Analysis -- Personalized Customer Service -- Investment Recommendations -- Advantages -- Improved Efficiency -- Personalization -- Better Decision-making -- Improved Security -- Limitations and Challenges -- Data Privacy and Security -- Ethical Concerns -- Regulatory Compliance -- Limited Availability of Skilled Talent -- Points to remember -- 4. Regulatory and Legal aspects of Generative AI -- Introduction -- Ethical and responsible use -- Intellectual property rights -- Privacy and data protection -- Bias and discrimination |
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Safety and security -- Points to remember -- 5. Generative AI and ChatGPT for Government Departments -- Introduction -- Use cases for generative AI -- Content creation -- Image and video analysis -- Disaster response -- Fraud detection -- Decision-making -- Predictive analytics -- Personalized services -- Generative AI in Government: Benefits and Ethical Safeguards -- Use cases for ChatGPT -- Customer service -- Natural language processing -- Information retrieval -- Language translation -- Policy analysis -- Speech recognition -- Virtual assistants -- Points to remember |
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6. Authenticity AI generated content -- Introduction -- Limitations and challenges of generative AI-generated content -- Spread of Misinformation -- Amplification of Bias -- Creation of Fake Identities -- Job Displacement -- Security Risks -- Development of ChatGPT language model -- Points to remember -- 7. ChatGPT Technical Overview: Introduction -- Introduction -- Introduction to Natural Language Processing -- Evolution of NLP -- GPT and ChatGPT -- GPT series by OpenAI -- Points to remember -- 8. Brief of top other NLP models -- Introduction -- 9. Historical flow and development of GPT series |
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Introduction -- Generative Pre-trained Transformer -- 1 -- Basic Framework -- Model training stages -- Model implementation specifications -- Evaluation -- Generative Pre-trained Transformer -- 2 -- Base framework -- Model specifications -- Evaluation -- The introduction to GPT-3 -- Base Framework -- Model specifications -- Evaluation -- API development of GPT -- 3 -- Introduction of GPT -- 3.5, InstructGPT -- Base Framework -- Model specifications -- Results -- Cost reduction in GPT -3 model API tokens -- Introduction of Whisper -- Overview of Whisper -- Introduction of ChatGPT -- Timeline Summary |
| Summary |
Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you |
| Notes |
Description based upon print version of record |
|
Points to remember |
| Form |
Electronic book
|
| Author |
Roy, Soumyadeep
|
|
Kumar, Sumit
|
| ISBN |
9789355518033 |
|
935551803X |
|
