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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-from-basics-to-expert-with-hands-on/
课程评论：没有评论
课程名称：生成式人工智能：从基础到高级 课程概述：课程《生成式人工智能：从基础到专家》是一个综合性的课程，旨在带领学生探索生成式人工智能的精彩世界。课程从基本概念入手，介绍生成式人工智能的基础知识，包括大型语言模型（LLMs）以及提示工程的重要性，这是一项引导AI响应的关键技能。课程深入探讨了如词嵌入和人工神经网络等基本主题，这些正是生成模型的基础。 通过实践操作，学生将使用Hugging Face和Lang Chain等流行框架，在真实场景中应用大型语言模型，例如处理PDF或维基百科中的数据并生成有意义的输出。学生们还将学习检索增强生成（Retrieval-Augmented Generation），将大型语言模型应用于私有数据集，以提供定制化解决方案。此外，他们还将构建能够独立执行任务的智能代理，这一技能在自动化和生产力方面具有现实应用。 课程还涵盖了先进理论，如深度学习算法和Transformer，提供对这些技术如何重塑内容创作、代码生成和翻译的深入见解。由于生成式人工智能技能在各行业需求旺盛，这门课程为进入这一转型领域的职业生涯提供了强有力的步骤。通过这种实践方法，学生们将能够充分利用生成式AI的潜力，并为未来的机遇获得宝贵的专业知识。
Generative AI: From Basics to Expert with Hands-On is a comprehensive course designed to take students through the exciting world of generative artificial intelligence. Starting with foundational concepts, students will learn the basics of Generative AI, including an introduction to Large Language Models (LLMs) and the importance of prompt engineering, a crucial skill for guiding AI responses. The course dives deeper into essential topics such as word embeddings and artificial neural networks, which form the backbone of generative models. Through hands-on practice, students will work with popular frameworks like Hugging Face and Lang Chain to apply LLMs in real scenarios, such as processing data from PDFs or Wikipedia and creating meaningful outputs. Students will also learn Retrieval-Augmented Generation, applying LLMs to private datasets to provide customized solutions. Beyond that, they'll build intelligent agents capable of performing tasks independently, a skill that has real-world applications in automation and productivity.Additionally, the course covers advanced theories, such as deep learning algorithms and Transformers, offering insights into how these technologies reshape content creation, code generation, and translation. Generative AI skills are in high demand across industries, making this course a powerful step toward a career in this transformative field. Through this hands-on approach, students will be prepared to leverage generative AI's potential and gain valuable expertise for future opportunities.
