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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-generative-ai/
课程评论：没有评论
课程名称：生成式人工智能硕士2025 - 大型语言模型、提示工程与更多 课程概述：通过我们的综合课程“掌握生成式人工智能：大型语言模型、提示工程与更多”，释放生成式AI的潜力。本课程旨在为初学者和经验丰富的开发人员提供深化了解快速发展的人工智能领域的机会。在本课程中，您将探索一系列重要主题，包括： 1. **Python编程**：学习Python的基本知识，这一编程语言是AI开发的首选，并通过Pandas和NumPy等库掌握数据操作技能。 2. **自然语言处理（NLP）**：深入了解NLP领域，掌握文本处理、特征提取的技术，利用强大的库如NLTK和SpaCy。 3. **深度学习与变换器模型**：理解变换器模型的架构，这是许多先进AI应用的核心。学习深度学习的基本原理以及如何使用TensorFlow和PyTorch实现神经网络。 4. **大型语言模型（LLMs）**：深入了解LLMs，包括其训练和微调过程（如PEFT、LoRA和QLoRA），并学习如何在从聊天机器人到内容生成的各种应用中有效使用这些模型。 5. **检索增强生成（RAG）**：探索将检索技术与生成模型相结合以增强AI性能的创新概念。您还将学习RAG评估方法，包括RAGAS框架、BLEU、ROUGE、BARScore和BERTScore。 6. **提示工程**：掌握设计有效提示的艺术，以改善与LLMs的互动并优化特定任务的输出。 7. **向量数据库**：了解如何实现和利用向量数据库来存储和检索高维数据，这是管理AI生成内容的重要技能。 课程的最后部分为一个顶点项目，您将应用所学知识，通过生成式AI技术来解决现实世界中的问题。通过这门课程，您将建立起生成式AI的坚实基础，并具备实施复杂AI解决方案的能力。无论您是希望提升职业发展，转型至AI开发，还是单纯探索这一迷人的领域，该课程都是通往掌握生成式AI的门户。 立即注册，迈出成为生成式AI专家的第一步！
Unlock the potential of Generative AI with our comprehensive course, "Mastering Generative AI: LLMs, Prompt Engineering & More." This course is designed for both beginners and seasoned developers looking to deepen their understanding of the rapidly evolving field of artificial intelligence.In this course, you will explore a wide range of essential topics, including:Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and NumPy.Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and SpaCy.Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.Large Language Models (LLMs): Gain insights into LLMs, their training, fine-tuning processes (including PEFT, LoRA, and QLoRA), and learn how to effectively use these models in various applications, from chatbots to content generation.Retrieval-Augmented Generation (RAG): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance. You'll also learn about RAG evaluation methods, including the RAGAS framework, BLEU, ROUGE, BARScore, and BERTScore.Prompt Engineering: Master the art of crafting effective prompts to improve interactions with LLMs and optimize outputs for specific tasks.Vector Databases: Discover how to implement and utilize vector databases for storing and retrieving high-dimensional data, a crucial skill in managing AI-generated content.The course culminates in a Capstone Project, where you will apply everything you've learned to solve a real-world problem using Generative AI techniques.By the end of this course, you will have a solid foundation in Generative AI and the skills to implement complex AI solutions. Whether you're looking to enhance your career, transition into AI development, or simply explore this fascinating field, this course is your gateway to mastering Generative AI.Enroll now and take the first step toward becoming an expert in Generative AI!
