From the course: Artificial Intelligence Foundations: Machine Learning
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Bridge to generative AI
From the course: Artificial Intelligence Foundations: Machine Learning
Bridge to generative AI
- [Instructor] Generative AI may seem like something completely new, but it's built on the same foundation as traditional machine learning. The core principles, learning patterns from data, making predictions, and improving over time are the same ones you've been learning throughout this course. In traditional machine learning, models learn from labeled data to make predictions. Generative AI takes those same ideas and expands them. Instead of predicting a single number or category, generative models create new content that follows the patterns they've learned. They can generate text, images, audio, or even code. The building blocks are familiar. The biggest differences are the size of the models, the amount of data they use, and the complexity of what they produce. Large language models like GPT, Claude, or Gemini are trained on massive data sets and use architectures such as transformers to understand and generate…
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