Waveform: The MKBHD Podcast How Does AI Actually Work?
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Oct 24, 2023 This week, Danu Mbanga, Director of Generative AI Solutions at Google, sheds light on the complexities of artificial intelligence. He discusses the differences between AI, machine learning, and deep learning, highlighting their interconnected roles. Danu also explains how generative AI transforms industries and enhances content creation through tools like BARD. The conversation touches on emergent abilities in AI, the challenges of hallucination in models, and future prospects for specialized AIs, making for a captivating exploration of AI's potential.
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AI Definition
- AI encompasses tools and techniques providing human cognitive capabilities to computers.
- It accelerates processes, combining planning, scheduling, sensing, and understanding.
ML and DL
- Machine learning is a subset of AI, focusing on mathematical and statistical techniques.
- Deep learning, a subset of machine learning, utilizes artificial neural networks.
DL's Rise
- Deep learning's popularity stems from its ability to process large datasets and scale effectively.
- Unlike traditional machine learning, deep learning avoids diminishing returns with more data.