It’s Not Thinking. It’s Completing- How LLMs Actually Generate Text?
中文摘要
本文解析大模型如何通过预测下个字符而非思考来生成文本，探讨了温度参数的影响，并强调流畅度并不代表内容的准确性。
English Summary
LLMs generate text through next-token prediction rather than thinking. This article discusses how temperature influences outputs and emphasizes that linguistic fluency does not guarantee factual accuracy.
原文节选
The Honest Machine — Episode 1: Next-Token Prediction, Temperature, and Why Fluency ≠ Accuracy Continue reading on Medium »