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Introduction to Generative AI · LearnSpace
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Introduction to Generative AI

Курс от Duke University
Начальный≈ 38 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This introductory course is designed for beginners with no prior knowledge of generative AI. You will start by gaining a high-level understanding of what generative AI is and how it works. Through interactive lessons and hands-on examples, you will learn fundamental skills like providing effective prompts and iteratively improving the generated outputs. As the course progresses, you will dive deeper into specific major generative AI models, including their unique capabilities and limitations. Finally,, you will get practical experience using leading systems like GitHub Copilot, DALL-E, and OpenAI to generate code, images, and text. By the end, you will have developed core knowledge to start experimenting with generative AI in a responsible and effective way for a variety of applications. This course aims to provide a friendly introduction to prepare complete beginners for further exploration of this rapidly evolving technology.

Навыки, которые вы освоите

Prompt EngineeringRetrieval-Augmented GenerationGenerative AILarge Language ModelingOpenAI APIFine-tuningResponsible AIAI literacyGitHub CopilotChatGPTMachine LearningPython ProgrammingGenerative Model ArchitecturesHugging FaceOpenAIPrompt Patterns

Программа курса

4 модулей · 125 учебных материалов

01Introduction to Generative AI37 материалов

About the Course

Meet your course instructor: Alfredo DezaВидеоMeet your course instructor: Derek WalesВидеоConnect with your instructorsЧтениеAbout this CourseВидео

Учитесь у экспертов

Noah Gift

Executive in Residence and Founder of Pragmatic AI Labs

Alfredo Deza

Adjunct Assistant Professor in the Pratt School of Engineering

Derek Wales

Adjunct Professor

Introduction to Generative AI
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Обучение на Coursera

≈ 38 ч

4 модулей

Язык: Английский

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

Часть программы вашего университета
Course structure and Discussion EtiquetteЧтение
Meet and Greet (optional)Обсуждение
Report a problem with the course Чтение

Foundations of Generative AI

Key TermsЧтениеIntroductionВидеоWhat is Generative AI?ВидеоBrief history and Evolution of AIВидеоHistory of artificial IntelligenceЧтениеHow do Large Language Models Work in applications?ВидеоHow are Large Language Models created?ВидеоUnderstanding Large Language ModelsЧтениеKnowledge checkЗаданиеSummaryВидео

Overview of Large Language Models

Key TermsЧтениеIntroductionВидеоWhat are LLMs and how do they work?ВидеоBenefits and risks of using LLMsВидеоMitigating risks of LLMsВидеоExternal lab: trigger inaccuracy in a modelЧтениеWhat are foundation models?ВидеоFoundation models and the next era of AIЧтениеKnowledge checkЗаданиеSummaryВидео

Generative AI Landscape

Key TermsЧтениеIntroductionВидеоOpenAI and ChatGPTВидеоHugging Face and Open Source modelsВидеоExternal lab: Interact with hosted modelsЧтениеUsing local modelsВидеоCloud-based solutionsВидеоKnowledge checkЗаданиеGraded QuizЗаданиеSummaryВидео
02Interacting with models27 материалов

Introduction to prompting

Key termsЧтениеIntroductionВидеоWhat is Prompt Engineering?ВидеоZero, one, and few-shot promptingВидеоBasic prompting with contextВидеоUsing examples in promptsВидеоExternal lab: Practice Zero, one, and few-shot promptingЧтениеKnowledge checkЗаданиеSummaryВидео

Improved prompting

Key TermsЧтениеIntroductionВидеоSetting tone and personaВидеоRefining on previous contextВидеоBetter instructions through feedbackВидеоUnderstanding limitationsВидеоStrategies for better results with prompt engineering

Advanced prompt engineering

Key TermsЧтениеIntroductionВидеоLimitations of contextВидеоBreaking down into smaller tasksВидеоUsing Chain of ThoughtВидеоOther useful prompting techniquesВидеоKnowledge check
03Building robust Generative AI systems28 материалов

Generative AI Applications

Key TermsЧтениеIntroductionВидеоCommon types of Generative AI ApplicationsВидеоOverview of an API-based applicationВидеоOverview of an embedded-model applicationВидеоWhat is a multi-model application?ВидеоKnowledge checkЗаданиеSummaryВидео

Introduction to Retrieval Augmented Generation

Key TermsЧтениеIntroductionВидеоWhat is RAG?ВидеоOverview of a RAG applicationВидеоManaging data for RAGВидеоManaging data for RAGЛабораторная

Exploring a cloud-based Generative AI Application

Key TermsЧтениеIntroductionВидеоApplication overviewВидеоDeployment overviewВидеоSetting up cloud componentsВидеоUsing the Azure cloud for deploymentВидеоExternal lab: Create a RAG HTTP API
04Applications of LLMs33 материалов

OpenAI/DALL-E to Build Recipes and Generate Images

Meet your Course Instructor: Derek WalesВидеоDALL-E OverviewВидеоKey ReferencesЧтениеHow DALL-E 2 WorksЧтениеPrerequisites and Getting StartedЧтениеDemo: Environment Set UpВидеоDemo: OpenAI API Generating a Shopping List ВидеоDemo: DALL-E to Generate an Image ВидеоPractice on OpenAI/DALL-E ЛабораторнаяOpenAI/DALL-E SummaryВидеоReview QuestionsЗадание

Model Fine Tuning

OpenAI Fine Tuning and Project IntroВидеоFine Tuning ResourcesЧтениеFine Tuning Project: Part One - Env/Data PrepВидеоFine Tuning Project: Part Two - Starting Fine TuningВидеоFine Tuning Project: Part Three - Model EvaluationВидеоExternal Lab: Fine Tuning w/GPUsЧтение

Using OpenAI to Summarize Videos

OpenAI Whisper Model Project OverviewВидеоKey DocumentationЧтениеVideo Summarizer WalkthroughВидеоWhisper Model API Wrap UpВидеоReview Questions Задание

AI Business Environment, Ethics, and Safety

AI Business EnvironmentВидеоAI Ethics PrinciplesВидеоOpenAI Safety Best PracticesЧтениеLocal Machine Learning Models/Next Course PreviewВидеоModule QuizЗаданиеModule Wrap UpВидео

Course Summary

Next stepsЧтениеCourse summaryВидеоShare your learning experienceЧтение
Чтение
Knowledge checkЗадание
SummaryВидео
Задание
Graded QuizЗадание
SummaryВидео
Verifying embeddings and searchВидео
Using RAG with an LLMВидео
Knowledge checkЗадание
SummaryВидео
External lab: Create a RAG with LLM using your own dataЧтение
Чтение
SummaryВидео
Graded QuizЗадание
Fine Tuning SummaryВидео
Review Questions Задание