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所在平台: Udemy |
课程主页: https://www.udemy.com/course/quantization-for-generative-ai/
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**课程名称：** [NEW] 2025: Quantization for Gen-AI **课程概述：** 本课程是为应对当前快速发展的技术环境而设计的，重点关注作为生成式人工智能基石的大型语言模型（LLMs）。LLMs 在内容创作、客户服务等多个行业具有革命性的潜力。本课程将为您提供掌握 LLMs 和充分发挥其潜力的基础知识和技能。 **课程目标：** * 深入理解生成式 AI 和 LLMs 的基本概念和原理。 * 探索 LLMs 配置参数的细节及其对性能的影响。 * 区分无状态与有状态 LLMs 及其应用。 * 理解基础 LLMs 与指令微调 LLMs 的区别。 * 深入研究模型训练的经济学，包括成本考量和 Kalpan Paper 的见解。 * 探索 Chinchilla Paper 中提出的开创性研究及其对 LLM 开发的影响。 * 掌握量化技术，以优化模型大小和效率。 * 区分训练后量化 (PQT) 和感知量化训练 (QAT) 技术。 * 了解现有的量化包和工具。 * 学习量化 LLMs 以提高性能和降低计算需求的实践过程。 **课程特色：** * **全面性：** 提供从基础概念到高级技术的全面 LLMs 理解。 * **实践性：** 通过实际练习和项目，应用知识并构建真实世界的应用。 * **专家指导：** 受益于经验丰富的讲师的专业指导。 * **最新内容：** 掌握生成式 AI 和 LLM 技术的最新进展。 立即报名，踏上成为生成式 AI 和 LLMs 大师的旅程！
In today's rapidly evolving technological landscape, Large Language Models (LLMs) have emerged as a cornerstone of generative AI, capable of revolutionizing industries from content creation to customer service. This comprehensive course is designed to equip you with the essential knowledge and skills to master LLMs and harness their full potential.Course ObjectivesGain a deep understanding of the foundational concepts and principles of generative AI and LLMs.Explore the intricacies of LLM configuration parameters and their impact on performance.Differentiate between stateless and stateful LLMs and their applications.Understand the distinction between base LLMs and instruction-tuned LLMs.Delve into the economics of model training, including cost considerations and the insights from the Kalpan Paper.Explore the groundbreaking research presented in the Chinchilla Paper and its implications for LLM development.Master the art of quantization to optimize model size and efficiency.Differentiate between Post-Training Quantization (PQT) and Quantization-Aware Training (QAT) techniques.Explore the landscape of quantization packages and tools available.Learn the practical process of quantizing LLMs to enhance performance and reduce computational requirements.Why Choose This Course?Comprehensive Coverage: Our course provides a thorough understanding of LLMs, from foundational concepts to advanced techniques.Hands-On Learning: Engage in practical exercises and projects to apply your knowledge and build real-world applications.Expert Guidance: Benefit from the expertise of our experienced instructors who will guide you through the learning process.Up-to-Date Content: Stay informed with the latest advancements in generative AI and LLM technology.Enroll today and embark on a journey to become a master of generative AI and LLMs!
