Transcript
Curious about the AI revolution? In the next minute, we'll break down the technology powering it all: foundation models. The future of AI is models that are trained on a broad set of unlabeled data that can be used for different tasks with minimal fine-tuning. Think of it like this: you learn to drive one car, and with a little effort, you can drive most other cars. Foundation models work similarly, applying knowledge from one situation to another. You've likely heard of them, models like GPT-4, BERT, and DALL-E are all pioneering examples. They can handle jobs from translating text and analyzing medical images to generating entirely new content. But they have limitations. They can sometimes fabricate answers, a phenomenon known as hallucination. And since they are trained on vast datasets, they can learn and amplify harmful biases, which can disproportionately harm marginalized groups. Despite these challenges, foundation models are the cornerstone of the next generation of intelligent systems, offering scalable and adaptable frameworks for advanced AI applications.
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