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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-generative-ai-lifecycle/
课程评论：没有评论
**课程名称：** [NEW] 2025: 生成式AI生命周期入门 **课程概述：** 本课程为一项基础性介绍，旨在全面概述生成式AI（特别是大型语言模型LLMs）的开发和部署的关键阶段。生成式AI已成为一股变革性的力量，正深刻影响着内容创作、药物发现等众多行业。LLMs在其中扮演着核心角色，有望重塑我们获取信息和生成内容的方式。通过理解整个过程，学员将深入了解生成式AI所面临的挑战、机遇以及最佳实践。 **课程目标：** * 建立对生成式AI生命周期关键阶段的基础认识。 * 探索LLMs在推动创新和解决问题中的作用。 * 学习数据质量和预处理在LLM开发中的重要性。 * 理解训练和微调LLMs所使用的不同技术。 * 了解评估指标在衡量LLM性能中的作用。 * 发掘LLMs在不同领域的潜在应用。 **课程结构：** 本课程结构紧凑，每节课将介绍生成式AI生命周期的关键阶段，提供必要的知识和背景信息。 **涵盖的主要主题：** * 生成式AI和LLMs简介 * 生成式AI生命周期 * 预训练模型的模型选择 * 模型训练和微调 * 评估指标和基准测试 * 生成式AI的应用 **推荐：** 本课程提供坚实的基础，帮助学员做出明智的决策并有效利用LLMs。如需更深入的学习和实践经验，建议进阶学习“掌握生成式AI：从LLMs到应用”课程。
IntroductionGenerative AI has rapidly emerged as a transformative force, revolutionizing industries from content creation to drug discovery. At the heart of this revolution lie Large Language Models (LLMs), which have the potential to revolutionize how we interact with information and generate new content.This course serves as a foundational introduction to the generative AI lifecycle, providing you with a comprehensive overview of the key stages involved in developing and deploying LLMs. By understanding the entire process, you'll gain valuable insights into the challenges, opportunities, and best practices associated with generative AI.Course ObjectivesGain a foundational understanding of the key stages in the generative AI lifecycle.Explore the role of LLMs in driving innovation and problem-solving.Learn about the importance of data quality and preprocessing in LLM development.Understand the different techniques used to train and fine-tune LLMs.Explore the role of evaluation metrics in assessing LLM performance.Discover the potential applications of LLMs across various domains.Course StructureThis course is designed to provide a concise overview of the generative AI lifecycle. Each lecture will introduce a key stage, providing you with essential information and context. For a more in-depth exploration of each topic, we recommend our comprehensive course, "Mastering Generative AI: From LLMs to Applications."Key Topics CoveredIntroduction to Generative AI and LLMsThe Generative AI LifecycleModel Selection for Pre-trained modelsModel Training and Fine-TuningEvaluation Metrics and BenchmarkingApplications of Generative AIBy completing this course, you'll have a solid foundation in the generative AI lifecycle, enabling you to make informed decisions and effectively leverage LLMs in your work. We encourage you to explore our more advanced course, "Mastering Generative AI: From LLMs to Applications," for a deeper dive into each topic and practical hands-on experience.
