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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fine-tuning-and-adapting-genai-models-in-english/
课程评论：没有评论
课程名称：英语中的生成性人工智能模型微调与适应 课程概述：本课程“英语中的生成性人工智能模型微调与适应”旨在深入探索生成性人工智能（GenAI）的潜力，特别是针对人工智能专业人士、数据科学家和开发者。无论您是初学者还是希望提升专业技能的专家，本课程将帮助您定制和优化先进技术，以应对真实世界中的各种应用场景。 课程内容：本课程将深入探讨生成性人工智能的原则与应用，重点关注使用OpenAI、Hugging Face和LangChain等主要框架进行大型语言模型（LLMs）的微调与适应。您将学习GenAI的理论基础、先进的提示工程技术，以及如何结合外部知识源增强AI能力。通过实践作业和专家指导，您将掌握构建强大AI解决方案所需的工具和方法，例如领域特定的聊天机器人、摘要系统和问答应用程序。 主要学习成果： 1. 生成性人工智能与LLMs的基础：建立对生成性人工智能以及LLMs架构的牢固理解，为高级微调技术奠定基础。 2. LLMs的框架：通过使用OpenAI API、Hugging Face Transformers和LangChain等工具，获得定制和部署LLMs的实践经验。 3. 定制化提示工程：学习如何设计和优化提示，以引导LLMs提供精确且相关的输出。 4. 微调原则与应用：探索如何微调预训练模型，使其适应特定领域，提高性能和准确性。 5. 结合增强生成（RAG）：掌握将外部知识源与LLMs结合，以构建强大且具上下文感知的AI系统。 6. 构建实际应用：运用所学知识创建文本摘要、问答等实际应用的解决方案。 为什么选择此课程？本课程由生成性人工智能领域的专家授课，结合先进的理论和实践经验，让您在课程结束时具备微调和适应LLMs的能力，能够创建对话代理、智能内容生成系统等广泛应用。 准备好提升您的人工智能技能了吗？加入我们，掌握微调与适应生成性人工智能模型的艺术。今天就报名，与快速发展的AI领域保持同步，解锁创新和领导的新机会！
Fine-tuning and Adapting GenAI Models in EnglishUnlock the potential of Generative AI with our in-depth course, "Fine-tuning and Adapting GenAI Models in English". Designed for AI professionals, data scientists, and developers, this course provides a comprehensive exploration of Generative AI concepts, Large Language Models (LLMs), and the practical skills needed to adapt these cutting-edge technologies for real-world applications. Whether you're new to GenAI or looking to refine your expertise, this course equips you to customize and optimize models to meet diverse use cases effectively.Course Overview:This course offers an immersive dive into the principles and applications of Generative AI, with a focus on fine-tuning and adapting LLMs using leading frameworks like OpenAI, Hugging Face, and LangChain. You'll explore the theoretical foundations of GenAI, learn advanced prompt engineering techniques, and discover how Retrieval-Augmented Generation (RAG) enhances AI capabilities. With hands-on assignments and expert guidance, you'll master the tools and methodologies required to build powerful AI solutions, such as domain-specific chatbots, summarization systems, and question-answering applications.Key Learning Outcomes:Foundations of Generative AI and LLMs:Build a strong understanding of Generative AI and the architecture of LLMs, laying the groundwork for advanced fine-tuning techniques.Frameworks for LLMs:Gain practical experience with tools like OpenAI APIs, Hugging Face Transformers, and LangChain to customize and deploy LLMs effectively.Prompt Engineering for Customization:Learn how to design and optimize prompts to guide LLMs toward delivering precise, contextually relevant outputs.Fine-tuning Principles and Applications:Discover how to fine-tune pre-trained models to adapt them for specific domains, improving performance and accuracy.Retrieval-Augmented Generation (RAG):Master the integration of external knowledge sources with LLMs to build robust and context-aware AI systems.Building Real-world Applications:Apply your knowledge to create solutions for text summarization, question answering, and other real-world use cases using LLMs.Why Enroll?Led by an expert in Generative AI with a proven track record of delivering impactful courses, this program combines cutting-edge theory with hands-on practice. By the end of the course, you'll have the confidence and skills to fine-tune and adapt LLMs for a wide range of applications, from creating conversational agents to deploying intelligent content generation systems.Ready to Transform Your AI Skills?Join us and master the art of fine-tuning and adapting Generative AI models. Enroll today to stay ahead in the rapidly evolving field of AI and unlock new opportunities to innovate and lead in the AI-driven future!
