When you train a very large AI system on a lot of data, say hundreds of billions or even over a trillion words, then you get a large language model like ChatGPT that given an initial piece of text called a prompt, is very good at generating some additional words in response to that prompt. The description I presented here does omit some technical details like how the model learns to follow instructions rather than just predict the next word found on the Internet. Also how developers make the model less likely to generate inappropriate outputs, such as one that exhibit discrimination or hand out harmful instructions. If you're interested, you can learn more about these details in the calls generative AI for everyone. At the heart of LLMs though, is this technology that learns from a lot of data to predict what is the next word using supervised learning
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Unknown title on until you have used all the words in the sentence. This one sentence is turned into multiple inputs A and outputs B for the model to learn given a few words as input, what is the next word? <span>When you train a very large AI system on a lot of data, say hundreds of billions or even over a trillion words, then you get a large language model like ChatGPT that given an initial piece of text called a prompt, is very good at generating some additional words in response to that prompt. The description I presented here does omit some technical details like how the model learns to follow instructions rather than just predict the next word found on the Internet. Also how developers make the model less likely to generate inappropriate outputs, such as one that exhibit discrimination or hand out harmful instructions. If you're interested, you can learn more about these details in the calls generative AI for everyone. At the heart of LLMs though, is this technology that learns from a lot of data to predict what is the next word using supervised learning. In summary, supervised learning just learns input, output, or A to B mappings. On one hand, input, output A to B seems quite limiting. But when you find the right application scenario, Summary
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