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| | In AI, there are four generations. | | In AI, there are four generations. |
| − | # The first generation is the Good Old-fashioned AI, meaning that you handcraft everything and you learn nothing. | + | # First Generation AI - is the Good Old-fashioned AI, meaning that you handcraft everything and you learn nothing. These were simple programs that could only do one task really well. They were like little robots that were programmed to do a specific thing, like adding numbers or sorting data. |
| − | # The second generation is shallow learning — you handcraft the features and learn a classifier. | + | # Second Generation AI - is shallow learning — you handcraft the features and learn a classifier. This was when people started teaching computers how to learn by giving them lots of data and letting them figure out patterns on their own. These programs were called "machine learning" programs, and they could do things like recognize images or translate languages. |
| − | # The third generation, which a lot of people have enjoyed so far, is deep learning. Basically you handcraft the algorithm, but you learn the features and you learn the predictions, end to end. More learning than shallow learning, right? | + | # Third Generation AI - is deep learning. Basically you handcraft the algorithm, but you learn the features and you learn the predictions, end to end. This is when computers started to get really good at things that only humans used to be able to do, like understanding language and making decisions based on what they know. These programs are called "neural networks" because they're modeled after the way our brains work. |
| − | # And the fourth generation, this is something new, what I work on, I call it “learning-to-learn.” [https://medium.com/syncedreview/google-brain-research-scientist-quoc-le-on-automl-and-more-a7f6d3f9392e Google Brain Research Scientist Quoc Le on] [[Algorithm Administration#AutoML|AutoML]] and More | + | # Fourth Generation AI - This is the most advanced kind of AI we have so far - “learning-to-learn.”. These programs can understand things like emotions and creativity. They can learn from experience and get better at things over time, just like we do. They're often called "artificial general intelligence" because they're almost as good as humans at thinking and learning. |
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