Ultimate Azure Ai Services For Gen Ai Solutions Build Advanced Gen Ai Solutions With Azure Openai Langchain And Vector Databases To Enhance Efficiency And Revolutionize Enterprise Operations


Download Ultimate Azure Ai Services For Gen Ai Solutions Build Advanced Gen Ai Solutions With Azure Openai Langchain And Vector Databases To Enhance Efficiency And Revolutionize Enterprise Operations PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ultimate Azure Ai Services For Gen Ai Solutions Build Advanced Gen Ai Solutions With Azure Openai Langchain And Vector Databases To Enhance Efficiency And Revolutionize Enterprise Operations book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

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Ultimate Azure AI Services for Gen AI Solutions


Ultimate Azure AI Services for Gen AI Solutions

Author: Shanthababu Pandian

language: en

Publisher: Orange Education Pvt Ltd

Release Date: 2025-05-08


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TAGLINE Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! KEY FEATURES ● Step-by-step and structured content designed for beginners, intermediates, and experts alike. ● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases. ● Gain insights into implementation strategies through practical, real-world examples. DESCRIPTION Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, you’ll gain practical insights into the power of prompt engineering, advanced features of Azure’s AI capabilities, and how to implement solutions in language, speech, and vision. You’ll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don’t miss your chance to transform your business with Azure’s revolutionary AI tools—start building the future today! WHAT WILL YOU LEARN ● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques. ● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions. ● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio. ● Leverage Azure’s advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices. ● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications. WHO IS THIS BOOK FOR? This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Exploring LLMs and Its Capabilities 3. Vector Database and Embedding Techniques 4. Prompt Engineering and Its Significance 5. Azure Storage for Azure OpenAI Implementations 6. Azure AI Search Services for Azure OpenAI Implementations 7. Getting Started with Generative AI Using Azure OpenAI Services 8. Advanced Azure AI Studio–I 9. Advanced Azure AI Studio–II 10. Generative AI Use Cases for Industries–I 11. Gen AI Implementation Use Case with Azure OpenAI–II Index

Ultimate Azure AI Services for Gen AI Solutions: Build Advanced Gen AI Solutions with Azure OpenAI, LangChain and Vector Databases to Enhance Efficiency, and Revolutionize Enterprise Operations


Ultimate Azure AI Services for Gen AI Solutions: Build Advanced Gen AI Solutions with Azure OpenAI, LangChain and Vector Databases to Enhance Efficiency, and Revolutionize Enterprise Operations

Author: Shanthababu Pandian

language: en

Publisher: Orange Education Pvt Limited

Release Date: 2025-05-08


DOWNLOAD





Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! Key Features● Step-by-step and structured content designed for beginners, intermediates, and experts alike.● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases.● Gain insights into implementation strategies through practical, real-world examples. Book DescriptionAzure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, you’ll gain practical insights into the power of prompt engineering, advanced features of Azure’s AI capabilities, and how to implement solutions in language, speech, and vision. You’ll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don’t miss your chance to transform your business with Azure’s revolutionary AI tools—start building the future today! What you will learn● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques.● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions.● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio.● Leverage Azure’s advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices.● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications.

Efficient R Programming


Efficient R Programming

Author: Colin Gillespie

language: en

Publisher: "O'Reilly Media, Inc."

Release Date: 2016-12-08


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There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer