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1 day ago
From Black Box to Transparent: How to Read the Inner Logic of LLMs
Large language models (LLMs) like ChatGPT don’t truly “think” — they use massive datasets + probability to predict the next word. By unpacking their core principle, architecture, training pipeline and reasoning flow, you’ll learn to demystify the “black box”, wield better prompts and know where these models hit their limits.
Source: HackerNoon →