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所在平台: Udemy |
课程主页: https://www.udemy.com/course/llms-workshop-practical-exercises-of-large-language-models/
课程评论：没有评论
**课程名称：** LLMs Workshop: Large Language Models 的实践练习 **课程概述：** 这门为期4小时的 workshop 旨在弥合理论知识与实践技能之间的鸿沟，让学习者深入了解大型语言模型（LLMs）的革命性世界。无论您是初露头角的数据科学家、人工智能爱好者，还是希望拓展技能的资深专业人士，本课程都将为您提供利用 LLMs 解决各种实际应用问题的实操经验。 **学习内容：** * **基础及进阶技术：** 从 LLMs 的基本概念、架构及其能力讲起，逐步深入到量化（Quantization）和 LoRA 等进阶优化技术。 * **实践练习：** 在 Colab 中利用 Kaggle 数据集，通过结构化的练习，使用 QLoRA 技术微调模型以完成问答和文本摘要等任务，并探索检索增强生成（RAG）等前沿概念。 * **实际应用：** 完成诸如构建语义搜索电影引擎、开发基于学术文章的聊天界面等引人入胜的项目，将所学知识应用到实际且有影响力的场景中。 * **模型发布：** 作为额外奖励，还将学习如何通过 Huggingface 将微调后的模型分享给社区，提升您在 AI 领域的影响力。 **目标学员：** 本课程非常适合希望深化对 LLMs 理解并以创新方式应用这些模型的个人。特别适合人工智能专业人士、数据科学家和研究人员，他们渴望提升技能并将 LLMs 应用于解决复杂问题。
Dive into the revolutionary world of Large Language Models (LLMs) with our comprehensive 4-hour workshop, designed to bridge the gap between theoretical knowledge and practical skills. Whether you're a budding data scientist, an AI enthusiast, or a seasoned professional looking to expand your toolkit, this course is tailored to empower you with hands-on experience in leveraging LLMs for a variety of real-world applications.What You'll Learn:Fundamentals and Advanced Techniques: Start with the basics of Large Language Models, including their architecture and capabilities, before progressing to advanced optimization methods such as Quantization and LoRA.Practical Exercises: Engage in structured exercises using Kaggle datasets in Colab, fine-tuning models for tasks like question answering and text summarization with QLoRA, and exploring cutting-edge concepts such as Retrieval Augmented Generation (RAG).Real-World Applications: Tackle engaging projects like building a semantic search engine to find movies and developing a chat interface with scholarly articles, applying your knowledge in tangible, impactful ways.Model Publication: As a bonus, learn how to share your fine-tuned models with the world through Huggingface, enhancing your visibility in the AI community.Intended Learners:This course is perfect for individuals looking to deepen their understanding of LLMs and apply these models in innovative ways. Ideal for AI professionals, data scientists, and researchers eager to expand their skills and apply LLMs to solve complex problems.
