大型语言模型基础

from AI Podcast · host weedge

本播客讨论了大型语言模型（LLM）的基础知识，包括预训练方法、提示工程、对齐技术等。它涵盖了Transformer架构，自监督学习，以及如何将LLM用于各种NLP任务。

Episode metadata supplied by the publisher feed · Published Feb 11, 2025

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大型语言模型基础

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This episode was published on February 11, 2025.

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