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鈥攍ike self-supervised learning and transformers鈥攖hat 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.
Understanding How Self-Supervised Learning _____
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Skills You'll Learn
AI Prompting, Transformer Architecture, Foundation AI Models, Self-Supervised Training, Transformer Self-Attention
From the lesson
Lesson 3: What's So Different About Generative AI?
Taught By
Jesse Spencer-Smith