Applied Generative AI and Natural Language Processing

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课程主页: https://www.udemy.com/course/applied-nlp-with-python/

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课程简介

Coursera**应用生成式AI与自然语言处理(NLP)课程总结** 本课程是一门全面深入的NLP和生成式AI实践课程,面向初学者和专业人士。课程旨在帮助学员掌握NLP和生成式AI在解决实际问题中的巨大潜力。 **课程亮点:** * **NLP基础:** 深入理解NLP的基本原理及其应用。 * **NLP基础知识:** 学习词嵌入(Word Embeddings)和Transformer等核心概念。 * **Huggingface应用:** 掌握Huggingface平台,了解如何使用预训练模型(Pre-Trained Networks)。 * **模型微调(Model Fine-Tuning):** 学习如何针对特定任务和数据集调整预训练模型。 * **向量数据库:** 理解向量数据库的工作原理,学习如何实现和应用,包括ChromaDB和多模态向量数据库。 * **OpenAI API与Prompt Engineering:** 学习如何利用OpenAI API(包括ChatGPT)进行NLP任务,并掌握各种Prompt Engineering技巧,如Few-Shot Prompting、Chain-of-Thought、Self-Consistency、Prompt Chaining、Reflection、Tree-of-Thought、Self-Feedback、Self-Critique等。 * **检索增强生成(Retrieval-Augmented Generation, RAG):** 学习RAG理论和实践,实现高效的文本信息查询。 * **期末项目:“聊天机器人”** * 创建一个能够与PDF文档聊天的聊天机器人。 * 为聊天机器人开发一个Web应用程序。 * **开源LLMs:** 学习如何使用Meta Llama 2、Mistral Mixtral等开源大型语言模型。 * **数据增强:** 了解NLP数据增强的理论和方法,并进行实践。 * **杂项:** 涵盖Claude 3、工具和LLM-Function integration。 本课程将使学员能够熟练实现NLP解决方案,并在实际场景中应用生成式AI技术。

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Join my comprehensive course on Natural Language Processing (NLP). The course is designed for both beginners and seasoned professionals. This course is your gateway to unlocking the immense potential of NLP and Generative AI in solving real-world challenges. It covers a wide range of different topics and brings you up to speed on implementing NLP solutions.Course Highlights:NLP-IntroductionGain a solid understanding of the fundamental principles that govern Natural Language Processing and its applications.Basics of NLPWord EmbeddingsTransformersApply Huggingface for Pre-Trained NetworksLearn about Huggingface models and how to apply them to your needsModel Fine-TuningSometimes pre-trained networks are not sufficient, so you need to fine-tune an existing model on your specific task and / or dataset. In this section you will learn how.Vector DatabasesVector Databases make it simple to query information from texts. You will learn how they work and how to implement vector databases.TokenizationImplement Vector DB with ChromaDBMultimodal Vector DBOpenAI APIOpenAI with ChatGPT provides a very powerful tool for NLP. You will learn how to make use of it via Python and integrating it in your workflow.Prompt EngineeringLearn strategies to create efficient promptsAdvanced Prompt EngineeringFew-Shot PromptingChain-of-ThoughtSelf-Consistency Chain-of-ThoughtPrompt ChainingReflectionTree-of-ThoughtSelf-FeedbackSelf-CritiqueRetrieval-Augmented GenerationRAG TheoryImplement RAGCapstone Project "Chatbot"create a chatbot to "chat" with a PDF documentcreate a web application for the chatbotOpen Source LLMslearn how to use OpenSource LLMsMeta Llama 2Mistral Mixtral Data AugmentationTheory and Approaches of NLP Data AugmentationImplementation of Data Augmentation MiscellaniousClaude 3Tools and LLM-Function

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