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Building Production-Ready Apps with Large Language Models · LearnSpace
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Building Production-Ready Apps with Large Language Models

Курс от Coursera
Средний≈ 4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In the age of artificial intelligence (AI), it is essential to learn how to apply the power of large language models (LLMs) for building various production-ready applications. In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application. Following the demo provided in this course, learners will learn how to develop a FAQ chatbot using HuggingFace, Python, and Gradio. Core concepts from applying prompt engineering to extract the most value from LLMs to infrastructure, monitoring, and security considerations for real-world deployment will be covered. Important ethical considerations such as mitigating bias, ensuring transparency, and maintaining user trust will also be covered to help learners understand the best practices in developing a responsible and ethical AI system. By the end, learners will have developed familiarity with both the technical and human aspects of building impactful LLM applications. The learners can design, develop, and deploy production-ready applications powered by Large Language Models. This course is designed for individuals with a basic understanding of programming and application development concepts. It is suitable for developers, data scientists, AI enthusiasts, and anyone interested in using LLMs to build practical applications. you need basic concepts, software tools, and an internet-connected computer.

Навыки, которые вы освоите

Data EthicsPrompt EngineeringLarge Language ModelingApplication SecurityApplication DeploymentLLM ApplicationModel DeploymentApplication DevelopmentContinuous MonitoringAI SecurityResponsible AIHugging FaceGenerative AI

Программа курса

1 модулей · 23 учебных материалов

01BUILDING PRODUCTION READY APPS WITH LLMs23 материалов

Lesson 1 - Introduction to LLMs and Production-Ready Applications

Welcome to the CourseDIALOGUEWelcome to the Course: Course OverviewЧтение[Optional] The GPT Generative AI Lab PlaygroundЧтениеIntroduction to LLMs: Benefits and ApplicationsВидео

Учитесь у экспертов

Reza Moradinezhad

AI Educator | Human-Centered Interaction Researcher | Promoting Trustworthy AI

Starweaver

Global Leaders in Professional & Technology Education

Building Production-Ready Apps with Large Language Models
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Обучение на Coursera

≈ 4 ч

1 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
Prompt EngineeringВидео
LLM DevelopmentВидео
Production ReadinessВидео
Introduction to Large Language ModelsЧтение
Lesson 1: Introduction to LLMs and Production-Ready ApplicationsDIALOGUE

Lesson 2 - Building a FAQ Chatbot

Getting Started with HuggingFaceВидеоBuilding UIs with GradioВидеоDeveloping the FAQ Chatbot: Part 1 - Getting StartedВидеоDeveloping the FAQ Chatbot: Part 2 - Finalizing and DeploymentВидеоA Comprehensive Comparative Analysis of LLMsЧтениеLesson 2: Building a FAQ ChatbotDIALOGUE

Lesson 3 - Ethics and Best Practices for Production LLMs

Ethical Considerations for LLMsВидеоMitigating AI RisksВидеоEnsuring TransparencyВидеоMaintaining User TrustВидеоBest Practices for Deploying Large Language Models (LLMs) in ProductionЧтениеFinal AssessmentЗадание[Optional] Access Your GPT GenAI PlaygroundЛабораторнаяLesson 3: Ethics and Best Practices for Production LLMsDIALOGUE