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The Essential Commonality Between Compression and LLM Is "Data prediction."
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While "data compression" and "large-scale language models (LLMs)" may seem like completely different fields, at their core, they both aim to solve the same problem: "data prediction." Both strive to "reduce data redundancy" and "achieve more efficient representation," and are ultimately connected by the mathematical framework of entropy in information theory. Annie Sexton, developer and educator at ngrok, published a blog post titled "Compressio…
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