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Generative Artificial Intelligence: What Everyone Needs to Know ®

Süre
9sa 22dk
Dil
İngilizce
Format
Kategori

Kurgu Dışı

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers.

Have we finally discovered the holy grail of AI—machines that match or exceed human intelligence? Which industries and professions will thrive, and which will wither? What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles? Will the benefits be broadly distributed or accrue to a lucky few? How will GAI alter our political systems and international conflicts? Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets?

Generative Artificial Intelligence: What Everyone Needs to Know® equips listeners with the knowledge to answer these pressing questions.

© 2024 Tantor Media (Sesli Kitap): 9798855560121

Yayın tarihi

Sesli Kitap: 25 Haziran 2024

Etiketler

Bunları da beğenebilirsin...

  1. The Ethics of Artificial Intelligence: New Frontiers Craig Dames
  2. Azure OpenAI Service for Cloud Native Applications: Designing, Planning, and Implementing Generative AI Solutions Adrian Gonzalez Sanchez
  3. LLMOps: A Comprehensive Guide to Deploying, Managing, and Optimizing Large Language Models Et Tu Code
  4. Artificial Intelligence and Generative Ai for Beginners: A Comprehensive Introduction to the Fundamentals, Practical Applications, and Future Trends of AI Technologies Ben Rizer
  5. Generative AI Roadmap: A comprehensive guide to mastering Generative AI and Large Language Models (LLMs) Et Tu Code
  6. Learning from the Machines: Shaping Intelligence in a Digital World: Harnessing Algorithms to Drive the Next Wave of Innovation Evan Carter
  7. The Mind's Mirror: Risk and Reward in the Age of AI Gregory Mone
  8. Demystifying LLM, AI Mathematics, and Hardware Infra: A comprehensive guide to understanding Large Language Models, AI Mathematics, and its Hardware Infrastructure Et Tu Code
  9. Explainable AI: Demystifying AI Decisions. A Guide to Transparency and Trust James Ferry
  10. Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play (2nd Edition) David Foster
  11. The Singularity Paradox: Balancing Innovation and Ethics in the Age of AI Valerie Vogue
  12. AI in Finance: Revolutionizing Financial Services with AI: Insights, Innovations, and Opportunities Chuck Sherman
  13. Cybernetics for Beginners: Understanding the Science of Systems and Control May Sherry
  14. Generative AI for Beginners: Understanding Artificial Intelligence.: Unlocking the Matrix with GPT-4, LLMs, Deep Neural Networks, and Practical Machine Learning Alex Quant
  15. Artificial Integrity: The Paths to Leading AI Toward a Human-Centered Future Hamilton Mann
  16. AI as Author: Exploring the Future of Publishing Nathan Venture, D
  17. Cognitive Architectures: Exploring the Foundations, Theories, and Practical Applications of Human-Like Intelligence Systems in AI, Robotics, and Beyond May Sherry
  18. Artificial Intelligence in Healthcare: Revolutionizing Medicine Craig Dames
  19. On Privacy and Technology Daniel J. Solove
  20. The Autonomous Revolution: Reclaiming the Future We’ve Sold to Machines: Reclaiming the Future We've Sold to Machines William H. Davidow
  21. AI Development for the Modern World: Innovations and Applications: Transforming Industries with Artificial Intelligence and Machine Learning Ava Brooks
  22. The Artificial Intelligence: Explained Navigating the World of AI J Emanuel
  23. Quantum AI: Unleashing the Power of Quantum Computing in Artificial Intelligence James Henry
  24. Chatbots and Conversational AI: Transforming Communication in the Digital Era Sam Green
  25. Data & AI Imperative: Designing Strategies for Exponential Growth Lillian Pierson
  26. Technological Evolution: Understanding the Advancements and Their Impacts (3 in 1) Zoey Fraisers
  27. Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications Shreyas Subramanian
  28. Mastering Large Language Models: An Essential Guide to Understanding and Implementing AI Virversity Online Courses
  29. AI Traders: The Future of Financial Markets in the Age of Artificial Intelligence Well-Being Publishing
  30. Neural Networks For Beginners: How to Build Intelligent Systems from Scratch Rayan Murray
  31. Symbiosis: A Very Short Introduction Nancy A. Moran
  32. Machine Learning with Python Guide for Beginners: A Beginner's Roadmap Robert Francis
  33. Neural Networks: Neural Networks Tools and Techniques for Beginners John Slavio
  34. Data Science and Machine Learning Demystified: Mastering Data Science and Machine Learning: Advanced Techniques and Applications Liam Stone
  35. The Art of Machine Learning: Bridging Human Intelligence and Automated Learning Evelyn Hartwell
  36. Machine Learning Box Set: 2 Books in 1 John Slavio
  37. Navigating the Machine Learning Landscape: A Primer to Algorithms, Data Models, and Applications Aria Chen
  38. Human Rights, Robot Wrongs: Being Human in the Age of AI Susie Alegre
  39. The Open Conspiracy: Blue Prints for a World Revolution H. G. Wells
  40. Quantum Machine Learning for Beginners: Exploring Quantum Machine Learning from Scratch Chuck Sherman
  41. Lean Software Development: Enhancing Efficiency and Innovation in Software Teams Jacob Richardson
  42. Algorithms: 3 books in 1 : Practical Guide To Learn Algorithms for Beginners + Design Algorithms to Solve Common Problems + Advanced Data Structures for Algorithms Andy Vickler
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  44. The Apple II Age: How the Computer Became Personal Laine Nooney
  45. Rebooting Tech Culture: How to Ignite Innovation and Build Organizations Where Everyone Can Thrive Telle Whitney
  46. Mathematical and Computational Physics: The Tools Behind the Science (3 in 1) Mark Hedges

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