8 Most Controversial Terms in AI, Explained
Explore key AI concepts like stochastic parrots, emergent behaviors, and AGI. Perfect for beginners and experts seeking clarity on contested AI terms.
Explore key AI concepts like stochastic parrots, emergent behaviors, and AGI. Perfect for beginners and experts seeking clarity on contested AI terms.
This comprehensive course demystifies eight of the most debated terms in artificial intelligence, making complex concepts accessible to both technical and non-technical audiences. From exploring the concept of 'stochastic parrots' in language models to understanding emergent behaviors and the implications of artificial general intelligence, the course provides clear, nuanced explanations of controversial AI terminology. Each module deep dives into a specific term's meaning, historical context, and current debates, helping learners develop a more sophisticated understanding of modern AI discussions.
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What you'll learn
Understand the controversy behind 'stochastic parrot' in AI
Grasp the concept of emergent behaviors in AI systems
Explore the distinction between open source and open weights
Learn about the 'bitter lesson' in AI development
Understand AI reasoning and hallucination concepts
Master key terminology in AI development and ethics
Skills you'll gain
This course includes:
2.16 Hours PreRecorded video
9 assignments
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FullTime access
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There are 8 modules in this course
This course explores eight controversial terms central to AI discussions, providing comprehensive insights into their meanings and implications. From technical concepts like stochastic parrots and emergent behaviors to broader discussions about artificial general intelligence and the 'bitter lesson' in AI development, each module carefully unpacks these complex terms. The curriculum helps learners understand the nuances and debates surrounding these concepts, enabling more informed participation in AI discussions.
Stochastic Parrot
Module 1 · 25 Minutes to complete
Emergent Behaviors
Module 2 · 29 Minutes to complete
Open Source
Module 3 · 19 Minutes to complete
The 'Bitter Lesson'
Module 4 · 18 Minutes to complete
Deep Dive - Reasoning
Module 5 · 30 Minutes to complete
Deep Dive - Hallucinations (+ Model Biases)
Module 6 · 20 Minutes to complete
Takeoff' Speeds
Module 7 · 20 Minutes to complete
Artificial General Intelligence
Module 8 · 25 Minutes to complete
Fee Structure
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Instructor
Philip - AI Explained
Philip is an expert in Artificial Intelligence (AI) who focuses on making complex AI concepts accessible and understandable. With a passion for simplifying advanced AI topics, he has created content aimed at demystifying AI for a wide range of learners, from beginners to advanced professionals.Through his course AI Explained, Philip guides students through the fundamentals of AI, breaking down intricate subjects such as machine learning, neural networks, deep learning, natural language processing, and AI ethics. His approach is to teach not only the technical aspects of AI but also its real-world applications, helping learners understand how AI is transforming industries such as healthcare, finance, marketing, and more. By focusing on clear, easy-to-follow explanations and practical examples, Philip empowers students to apply AI concepts in their own projects and careers. Whether you're looking to break into the AI field or deepen your existing knowledge, his courses provide a solid foundation and actionable insights into this rapidly evolving field.
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4.9 course rating
24 ratings
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