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The History and Relevance of the Rise of Generative AI

La Historia y Relevancia del Auge de la IA Generativa Sumérjase en el fascinante viaje de la inteligencia artificial, desde sus inicios teóricos hasta los poderosos modelos generativos de hoy en día. Este curso ofrece una perspectiva única sobre cómo la IA ha transformado a lo largo de décadas, destacando los desarrollos cruciales en el aprendizaj.
Southern New Hampshire University via Coursera

Southern New Hampshire University

43 Cursos


La Universidad del Sur de New Hampshire es una universidad privada, sin fines de lucro, acreditada regionalmente, que ofrece más de 200 programas acreditados de pregrado, posgrado y certificados para adultos trabajadores y estudiantes tradicionales.

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Resumen

Dive into the fascinating journey of artificial intelligence, from its theoretical beginnings to today's powerful generative models. This course offers a unique perspective on how AI has transformed over decades, highlighting the crucial developments in deep learning that paved the way for modern AI breakthroughs.

After completing this course, you will be able to:

  • Trace the evolution of AI from its early concepts to modern generative models
  • Identify key technological breakthroughs that enabled the rise of generative AI
  • Understand the fundamental differences between traditional AI and generative AI
  • Recognize potential applications and impacts of generative AI across various fields

You'll gain insights into the game-changing advancements—like self-supervised learning and transformers—that propelled generative AI to its current prominence.

By understanding this history, you'll be better equipped to anticipate future trends and applications in AI.

Whether you're an AI enthusiast, a professional looking to leverage AI in your field, or simply curious about the technology shaping our future, this course provides valuable context to help you navigate the exciting world of generative AI.

University:

Southern New Hampshire University

Provider:

Coursera

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, Generative AI Courses, Self-supervised Learning Courses, Transformers Courses


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