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Generative AI Architecture and Application Development · LearnSpace
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Generative AI Architecture and Application Development

Курс от Edureka
Начальный≈ 13 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Welcome to the 'Generative AI Architecture and Application Development' course, your gateway to mastering the advanced landscape of Generative AI and their transformative applications across industries. In this immersive course, participants will journey through the comprehensive world of LLMs, gaining insights into their foundational architecture, training methodologies, and the spectrum of applications they empower. By the end of this course, you will be equipped with the knowledge to: - Grasp the architectural nuances and training intricacies of Large Language Models, setting a solid foundation for understanding their capabilities and limitations. - Apply LLMs to a variety of tasks including search, prediction, and content generation, showcasing the versatility and power of generative AI in solving complex challenges. - Leverage the LangChain library to streamline the development of LLM applications, enhancing efficiency and innovation in your projects. - Explore advanced data interaction techniques using Retrieval-Augmented Generation (RAG), enriching the functionality and intelligence of LLM outputs. - Critically assess LLM performance, employing robust evaluation strategies to ensure your AI solutions are both effective and ethically aligned. This course is designed for a wide audience, from AI enthusiasts and software developers to data scientists and technology strategists seeking to deepen their expertise in generative AI and LLMs. Whether you are new to the field or looking to expand your knowledge, this course offers a structured path to enhancing your proficiency in leveraging LLMs for innovative solutions. A basic understanding of artificial intelligence concepts and familiarity with programming concepts are beneficial but not mandatory to complete this course. Embark on this educational journey to unlock the full potential of Large Language Models and Generative AI, propelling your professional growth and positioning you at the forefront of AI innovation.

Навыки, которые вы освоите

Large Language ModelingRetrieval-Augmented GenerationFine-tuningLLM ApplicationModel EvaluationInformation PrivacyResponsible AIGenerative AIGenerative Model Architectures

Программа курса

7 модулей · 119 учебных материалов

01Generative AI with LLMs18 материалов

Large Language Models: Pre-training and Scaling

Course IntroductionВидеоCourse OverviewЧтениеWhat Do You Know about Generative AI Development?DIALOGUELLMs and Generative AI Project LifecycleВидео

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Edureka

Преподаватель курса

Generative AI Architecture and Application Development
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Обучение на Coursera

≈ 13 ч

7 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
LLM Lifecycle in ContinuationВидео
LLM Pre-Training and ScalingВидео
LLM-ScalingВидео
LLM-Scaling TechniquesВидео
How to use Discussion Forums?Чтение
Performance of large language models (LLMs)Обсуждение
Knowledge Check: Large Language Models Pre-training and ScalingЗадание

Fine Tuning LLMs

Fine-Tuning LLMs with Specific InstructionsВидеоDemonstration on Fine TuningВидеоEfficient Fine-Tuning of Parameters: Maximizing Model PerformanceЧтениеReinforcement Learning from Human ResponseВидеоKnowledge Check: Fine Tuning LLMsЗадание

Module Wrap-up and Assessment

Summary and Consolidation of the ModuleЧтениеKnowledge Check: Large Language Models- Pre-training and ScalingЗадание
02LLMs for Search, Prediction, and Generation20 материалов

Language Model Basics

Search Query CompletionВидеоWorkings of Search Query CompletionВидеоNext Word PredictionВидеоLINEAR + SOFTMAXВидеоNext Word Prediction in Other DomainsВидеоWord EmbeddingsВидеоTechniques for Word EmbeddingВидеоTransformersВидеоWorking of TransformersВидеоGPT and BERTЧтениеFuture developments in Natural Language ProcessingОбсуждениеKnowledge Check: Language Model BasicsЗадание

Exploring Language Models

Generating TextВидеоWorking of Generating TextВидеоStacking Attention LayersВидеоCreation of Stacking Attention LayersВидеоAdvancements in Text GenerationОбсуждениеKnowledge Check: Exploring Language ModelsЗадание

Module Wrap-up and Assessment

Summary and Consolidation of the ModuleЧтениеKnowledge Check: LLMs for Search, Prediction, and GenerationЗадание
03LangChain for LLM Application Development17 материалов

LangChain

LangChain FoundationsЧтениеBenefits of using LangChainЧтениеUsing LangChain to Develop LLM ApplicationsВидеоCore Concepts of LLMВидеоDeveloping LLMsВидеоLogic of LLM ApplicationВидеоValue Propositions of LangChainВидеоComponents of LangChainВидеоBenefits of Components Based approachВидеоKnowledge Check: LangChainЗадание

LLM Powered Applications using LangChain

Off-the-Shelf Chains in LangChainВидеоBuild and Deploy LLM-Powered Applications using LangChainВидеоDesign your LLM Workflow and other stepsВидеоChallenges while building and deploying LLM-powered applicationsОбсуждениеKnowledge Check: LLM Powered Applications using LangChainЗадание

Module Wrap-up and Assessment

Summary and Consolidation of the ModuleЧтениеKnowledge Check: LangChain for LLM Application DevelopmentЗадание
04Interacting with Data Using LangChain and RAG21 материалов

Retrieval-Augmented Generation

Understanding Retrieval-Augmented Generation (RAG)ВидеоUsage of Retrieval-Augmented Generation (RAG)ВидеоWorking of Retrieval-Augmented Generation (RAG)ВидеоBenefits of Retrieval-Augmented Generation (RAG)ВидеоDocument Loading and SplittingВидеоWorking of LangChainВидеоWorking of LangChain in ContinuationВидеоBenefits of Document Loading and SplittingВидеоVector Stores and EmbeddingsВидеоTypes of Vector StoresВидеоWorking of VectorsВидеоRetrievalВидеоTechnical Procedure Behind RetrievalВидеоKnowledge Check: Retrieval-Augmented GenerationЗадание

Building RAG Models

Question Answering with ChatbotsВидеоBuilding a Chatbot with LangChain And RAGВидеоBuilding RAG Models using LangChainВидеоBuilding RAG Models using LangChain in ContinuationВидеоKnowledge check: Building RAG ModelsЗадание

Module Wrap-up and Assessment

Summary and Consolidation of the ModuleЧтениеKnowledge Check: Interacting with Data Using LangChain and RAGЗадание
05Evaluating LLM Performance16 материалов

Understanding Language Model Performance

LLM Performance ComparisonВидеоKey Aspects of LLM Performance ComparisonВидеоPerplexityВидеоCore Principle Behind PerplexityВидеоHow to calculate PerplexityВидеоBLEU ScoreВидеоCore Principle Behind BLEU ScoreВидеоKnowledge Check: Understanding Language Model PerformanceЗадание

Evaluating and Interpreting Language Models

Human EvaluationВидеоLimitations of Human EvaluationВидеоChoosing the Right MetricsВидео Interpreting the ResultsВидеоKey Aspects of Interpreting ResultsВидеоKnowledge Check: Evaluating and Interpreting Language ModelsЗадание

Module Wrap Up and Assessments

Summary and Consolidation of the ModuleЧтениеKnowledge check: Evaluating LLM PerformanceЗадание
06Gen AI for Data Privacy and Protection23 материалов

Generative AI for Enhancing Data Privacy

Overview of Data PrivacyВидеоUnderstand the Role of Generative AI in Data PrivacyВидеоEmpowering Data Privacy: How Generative AI Enhances Security and ConfidentialityЧтениеGenerative AI Transforming Data PrivacyОбсуждениеKnowledge Check: Generative AI for Enhancing Data Privacy Задание

Generative AI's Privacy Challenges and Regulations

Privacy Challenges with Generative AIВидеоDiving Deep into Privacy Compliance Law ВидеоIn-Depth Analysis of Global Privacy Compliance RegulationsЧтениеMastering the Complexities of GDPR and CCPAЧтениеAddressing Privacy Concerns in Generative AI ApplicationsЧтениеGenerative AI's Role to Enhance Data Privacy and ProtectionОбсуждениеKnowledge Check: Generative AI's Privacy Challenges and RegulationsЗадание

Ethical and Legal Consideration

Tips to Safeguard your OrganizationВидеоImportance of Ethical and Legal ConsiderationsВидеоAI specific Laws and Governing BodiesВидеоGen AI Responsibility for Protecting DataВидеоRole of Gen AI in Ensuring Data Privacy: Safeguarding Your InformationЧтениеNavigating the CPRA and the EU Artificial Intelligence ActЧтение

Module Wrap-up and Assessment

Navigating the Intersections of Generative AI and Data Privacy: A Comprehensive Module OverviewЧтениеKnowledge Check: Gen AI for Data Privacy and ProtectionЗадание
07Course Wrap-up and Assessments4 материалов
Final Checkpoint: Reflecting on Generative AI DevelopmentDIALOGUEPractice Project: Text Generation using Large Language Models (LLMs) with TransformersЧтениеEnd Course Knowledge CheckЗаданиеCourse SummaryВидео
Understanding AI-Specific Legislation and Regulatory FrameworksЧтение
Effective Strategies and Best Practices for Safeguarding Your OrganizationОбсуждение
Knowledge Check: Ethical and Legal ConsiderationЗадание