AI · 1h ago
LLMs Explained: How ChatGPT and Its Rivals Actually Work
Large language models predict the next word in a sequence after training on trillions of text tokens. GPT-4 has an estimated 1.7 trillion parameters and was trained on 13 trillion tokens. They excel at text generation but struggle with math, reasoning, and factual accuracy.
Meridian48 take
A solid primer, but glosses over the environmental and cost implications of scaling models to trillions of parameters.
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LLMs 101: Understanding the Technology Behind ChatGPT, Claude, and Gemini →
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