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I read this article yesterday.https://medium.com/@colin.fraser/chatgpt-automatic-expensive-bs-at-scale-a113692b13d5"...To summarize, a language model is just a probability distribution over words. Whether it’s a simple n-gram model like my bot or a state-of-the-art 175 billion parameter deep learning model, what it’s programmed to accomplish is the same: record empirical relationships between word frequencies over a historical corpus of text, and use those empirical relationships to create random sequences of words that have similar statistical properties to the training data."Unlike the human brain, there's no cognitive development going on inside the thing.
I read this article yesterday.
https://medium.com/@colin.fraser/chatgpt-automatic-expensive-bs-at-scale-a113692b13d5
"...To summarize, a language model is just a probability distribution over words. Whether it’s a simple n-gram model like my bot or a state-of-the-art 175 billion parameter deep learning model, what it’s programmed to accomplish is the same: record empirical relationships between word frequencies over a historical corpus of text, and use those empirical relationships to create random sequences of words that have similar statistical properties to the training data."
Unlike the human brain, there's no cognitive development going on inside the thing.
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