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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/chatgpt
课程评论：没有评论
课程名称：生成式预训练变换器（GPT） 课程概述：大型语言模型如GPT-3.5（驱动ChatGPT的技术）正在改变人类与计算机的互动方式，以及计算机处理文本的能力。本课程将介绍自然语言处理和语言建模的基本理念，这些理念是支持大型语言模型构建的基础。我们将探讨语言模型的基本原理，以及新型神经网络方法的具体构建方式。同时，我们还将审视促成变换器基础的大型语言模型的关键创新。 课程大纲： 1. **语言建模** 描述：这一模块介绍语言建模的概念，这是像GPT这样的模型的基础。 2. **变换器与GPT** 描述：该模块描述了神经语言模型的技术背景，以及这些模型如何用于生成文本的概述。 3. **应用与影响** 描述：本模块讨论在现实世界中使用GPT和类似模型时必须考虑的因素，特别讨论使用这些模型所存在的风险及减轻这些风险的方法。
Name:Language Modeling
Description:This module introduces the concept of language modelling, which is the foundation of models like GPT.
Name:Transformers and GPT
Description:This module describes the technical background for neural language models and an overview of how they are used to generate text.
Name:Applications and Implications
Description:This module discusses considerations that are necessary when using GPT and similar models in real-world contexts, specifically discussing the risks of using these models and approaches to mitigating these risks.
Large language models such as GPT-3.5, which powers ChatGPT, are changing how humans interact with computers and how computers can process text. This course will introduce the fundamental ideas of natural language processing and language modelling that underpin these large language models. We will explore the basics of how language models work, and the specifics of how newer neural-based approaches are built. We will examine the key innovations that have enabled Transformer-based large language
