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AI Explained: Understanding the Core Concepts (AI, ML, Generative AI, Deep Learning, LLMs)
Have you ever wondered what everyone means when they talk about Artificial Intelligence (AI)? Or are you confused about terms like Machine Learning (ML), Generative AI, and Deep Learning? This video breaks down these essential concepts into easy-to-understand explanations!

Artificial intelligence (AI): Building machines that can perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

Machine learning (ML): A subfield of AI where machines learn from data to perform specific tasks.

Generative AI: An application of ML that focuses on creating new content.
Deep learning: A subset of ML that uses artificial neural networks with many layers to extract complex patterns from data.

Foundation models: Powerful ML models trained on massive amounts of unlabeled data, allowing them to develop a broad understanding of the world.

Large language models (LLMs): A type of foundation model that is designed to understand and generate human language.

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Check full playlist of the Google Gen AI certification here:
   • Generative Artificial Intelligence( AI)  

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