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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-generative-ai-with-llms-a-hugging-face-guide/
课程评论：没有评论
课程名称：掌握生成性人工智能与大型语言模型的Hugging Face学习 课程概述：欢迎参加“掌握生成性人工智能与大型语言模型的Hugging Face学习”课程。在当今以人工智能驱动的世界中，Hugging Face已成为处理大型语言模型（LLMs）的核心平台，这些模型通过使机器能够生成类似人类的文本、回答问题以及创造原创内容，彻底改变了生成性人工智能的格局。本课程旨在全面深入地理解这些模型及如何利用Hugging Face的力量。 课程开始时，我们将对大型语言模型进行详细介绍，探讨它们的复杂性以及在Hugging Face生态系统中如何管理计算要求。随后，我们将深入Hugging Face的世界，这里提供了大量预训练模型，可以应用于各种创新性应用中。 为了确保实践知识的传授，课程将转向对Transformers这一大型语言模型核心技术的深入探讨，特别关注Hugging Face的实现。您将获得操作Hugging Face工具的实践经验，包括处理数据集、构建自定义模型和掌握分词技术。 最后，我们将重点讲解模型的训练、微调和量化，使用从Hugging Face下载的模型。您将学习如何根据需要调整大型语言模型，无论是用于摘要生成还是文本生成。通过Instruction Fine-tuning和PEFT等技术，您将掌握微调模型的艺术。我们还将展示如何使用Hugging Face从头开始训练一个GPT-2模型，以便从自定义数据集中生成文本。最后，我们将演示如何对模型进行量化，以节省内存空间。
Welcome to "Learn Hugging Face for Mastering Generative AI with LLMs". In today's AI-driven world, Hugging Face has become a central platform for working with Large Language Models (LLMs), which have revolutionized generative AI by enabling machines to generate human-like text, answer questions, and even create original content. This course is meticulously designed to give you a deep understanding of these models and how to harness their power using Hugging Face.Our journey begins with a robust introduction to LLMs, exploring their intricacies and how to manage their compute requirements, all within the Hugging Face ecosystem. From there, we dive into the world of Hugging Face, which provides an extensive collection of pre-trained models that can be applied in a wide range of innovative applications.Practical knowledge is essential, so the course transitions into a deep dive into Transformers, a key technology behind LLMs, with a special focus on Hugging Face implementations. You'll get hands-on experience with Hugging Face tools, manipulating datasets, building custom models, and mastering tokenization.Finally, we emphasize training, fine-tuning, and quantization, with models downloaded from Hugging Face. Learn how to adjust LLMs to your needs, whether for summarization or text generation. With techniques like Instruction Fine-tuning and PEFT, you'll master the art of fine-tuning models. We'll even show you how to train a GPT-2 from scratch using Hugging Face to generate text from a custom dataset. Then finally, we will show you how to quantize your models so that they take up less memory.
