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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-llm-and-beyond/
课程评论：没有评论
**[NEW] 2025：掌握生成式AI——从LLM到应用** Coursera提供的这门综合性课程旨在帮助学习者深入理解生成式AI，特别是大型语言模型（LLM）及其应用。课程将涵盖核心概念、实践技术以及围绕这项颠覆性技术相关的伦理考量。 **您将学到：** * **基础知识：** 理解AI的演进，掌握生成式AI的核心原理，并探索其多样化的用例。 * **LLM架构与训练：** 深入了解LLM的架构、训练过程以及影响其性能的关键因素。 * **提示工程（Prompt Engineering）：** 精通如何构建有效的提示词，以最大化LLM的能力并克服其局限性。 * **微调与优化：** 学习如何通过微调来定制LLM以适应特定任务，并探索PEFT（参数高效微调）和RLHF（人类反馈强化学习）等技术。 * **RAG与实际应用：** 了解如何利用检索增强生成（RAG）将LLM与外部知识源集成，并探索实际应用场景。 * **伦理考量：** 理解生成式AI的伦理影响以及负责任的AI实践。 完成本课程后，您将能够构建和部署强大的生成式AI解决方案，应对现实世界的挑战，并遵循伦理准则。无论您是数据科学家、开发者还是商业专业人士，本课程都将为您在生成式AI时代蓬勃发展提供必备技能。 **课程结构：** 课程共分为12个章节，涵盖从基础概念到高级技术的广泛主题。每个章节包含多个讲座，提供全面的学习体验。 * **第一章：** 生成式AI导论 * **第二章：** LLM架构与资源 * **第三章：** 生成式AI LLM生命周期 * **第四章：** 提示工程设置 * **第五章：** LLM属性 * **第六章：** 提示工程基本指南 * **第七章：** 改进提示技巧 * **第八章：** 完全微调 * **第九章：** PEFT - LORA * **第十章：** RLHF * **第十一章：** RAG * **第十二章：** 视觉生成式AI（预览）
Generative AI: From Fundamentals to Advanced ApplicationsThis comprehensive course is designed to equip learners with a deep understanding of Generative AI, particularly focusing on Large Language Models (LLMs) and their applications. You will delve into the core concepts, practical implementation techniques, and ethical considerations surrounding this transformative technology.What You Will Learn:Foundational Knowledge: Grasp the evolution of AI, understand the core principles of Generative AI, and explore its diverse use cases.LLM Architecture and Training: Gain insights into the architecture of LLMs, their training processes, and the factors influencing their performance.Prompt Engineering: Master the art of crafting effective prompts to maximize LLM capabilities and overcome limitations.Fine-Tuning and Optimization: Learn how to tailor LLMs to specific tasks through fine-tuning and explore techniques like PEFT and RLHF.RAG and Real-World Applications: Discover how to integrate LLMs with external knowledge sources using Retrieval Augmented Generation (RAG) and explore practical applications.Ethical Considerations: Understand the ethical implications of Generative AI and responsible AI practices.By the end of this course, you will be equipped to build and deploy robust Generative AI solutions, addressing real-world challenges while adhering to ethical guidelines. Whether you are a data scientist, developer, or business professional, this course will provide you with the necessary skills to thrive in the era of Generative AI.Course Structure:The course is structured into 12 sections, covering a wide range of topics from foundational concepts to advanced techniques. Each section includes multiple lectures, providing a comprehensive learning experience.Section 1: Introduction to Generative AISection 2: LLM Architecture and ResourcesSection 3: Generative AI LLM LifecycleSection 4: Prompt Engineering SetupSection 5: LLM PropertiesSection 6: Prompt Engineering Basic GuidelinesSection 7: Better Prompting TechniquesSection 8: Full Fine TuningSection 9: PEFT - LORASection 10: RLHFSection 11: RAGSection 12: Generative AI for Vision (Preview)
