当前位置:
X-MOL 学术
›
IEEE Comput. Intell. Mag.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Generative Large Language Models Explained [AI-eXplained]
IEEE Computational Intelligence Magazine ( IF 10.3 ) Pub Date : 2024-10-08 , DOI: 10.1109/mci.2024.3431454 Xueming Yan, Yan Xiao, Yaochu Jin
IEEE Computational Intelligence Magazine ( IF 10.3 ) Pub Date : 2024-10-08 , DOI: 10.1109/mci.2024.3431454 Xueming Yan, Yan Xiao, Yaochu Jin
Large Language Models (LLMs) such as OpenAI’s ChatGPT have achieved surprisingly huge progresses in the field of Natural Language Processing (NLP). This paper aims to present an immersive introduction to LLMs from the perspective of generative models. The main components of the training process of LLMs are explained, and an example of LLMs for AI-generated contents is given. This short paper is a summary of the interactive full paper online available at IEEE Xplore, in which detailed examples interactively demonstrate the training and working mechanisms of LLMs.
中文翻译:
生成式大型语言模型解释 [AI-eXplained]
OpenAI 的 ChatGPT 等大型语言模型 (LLMs) 在自然语言处理 (NLP) 领域取得了令人惊讶的巨大进步。本文旨在从生成模型的角度对 LLMs。解释了 LLMs,并给出了 AI 生成内容的 LLMs。这篇短文是 IEEE Xplore 在线提供的交互式完整论文的摘要,其中详细示例以交互方式演示了 LLMs。
更新日期:2024-10-08
中文翻译:
生成式大型语言模型解释 [AI-eXplained]
OpenAI 的 ChatGPT 等大型语言模型 (LLMs) 在自然语言处理 (NLP) 领域取得了令人惊讶的巨大进步。本文旨在从生成模型的角度对 LLMs。解释了 LLMs,并给出了 AI 生成内容的 LLMs。这篇短文是 IEEE Xplore 在线提供的交互式完整论文的摘要,其中详细示例以交互方式演示了 LLMs。