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In this video we will explore the amazing world of Artificial General Intelligence, or AGI. AGI is about creating software that can think and learn like a human, picking up new skills and solving problems it's never seen before.Most AI today is specialized, good at specific tasks like recognizing faces or translating languages, but unable to switch tasks. AGI aims to create AI that can understand, learn, and adapt to many different tasks, just like humans.
Today, we'll explain what makes AGI different, how it aims to solve any problem, and the methods researchers use to create it. We'll also look at the latest technologies like deep learning, generative AI, natural language processing, computer vision, and robotics. Plus, we'll discuss the challenges, like teaching AGI to understand emotions and make connections.
✅What is the main goal of AGI?
The main goal of AGI is to create AI that can think and learn like a human, adapting to a wide range of tasks and solving problems across different fields.
✅How is AGI different from current AI?
Current AI is specialized and excels at specific tasks, while AGI aims to understand, learn, and adapt to many different tasks, much like humans do.
✅What are some challenges in developing AGI?
Challenges include teaching AGI to make connections across different areas, understanding emotions, and perceiving the world like humans.
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➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
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