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Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

Description:

Unlock the power of GenAI by effortlessly linking your C# and Python apps with cutting-edge models, orchestrating diverse AI services with finesse, and crafting bespoke applications through immersive, real-world examples

Key Features

  • Link your C# and Python applications with the latest AI models from OpenAI
  • Combine and orchestrate different AI services such as text and image generators
  • Create your own AI apps with real-world use case examples that show you how to use basic generative AI, create images, process documents, use a vector database
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

In the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI.

Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents.

By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.

What you will learn

  • Write reusable AI prompts and connect to different AI providers
  • Create new plugins that extend the capabilities of AI services
  • Understand how to combine multiple plugins to execute complex actions
  • Orchestrate multiple AI services to accomplish a task
  • Leverage the powerful planner to automatically create appropriate AI calls
  • Use vector databases as additional memory for your AI tasks
  • Deploy your application to ChatGPT, making it available to hundreds of millions of users

Who this book is for

This book is for beginner-level to experienced .NET or Python software developers who want to quickly incorporate the latest AI technologies into their applications, without having to learn the details of every new AI service. Product managers with some development experience will find this book helpful while creating proof-of-concept applications. This book requires working knowledge of programming basics.

Table of Contents

  1. Introducing Microsoft Semantic Kernel
  2. Creating Better Prompts
  3. Extending Semantic Kernel
  4. Performing Complex Actions by Chaining Functions
  5. Programming with Planners
  6. Adding Memories to Your AI Application
  7. Real-World Use Case – Retrieval-Augmented Generation
  8. Real-World Use Case – Making Your Application Available on ChatGPT
Read more

Editorial Reviews

Review

“This book is a great resource for generative AI professionals seeking to build applications that require prompt engineering to construct RAGs and custom OpenAI apps. Lucas provides a high-level overview of Microsoft's Semantic Kernel SDK. This SDK integrates OpenAI, Azure OpenAI, and Hugging Face with Java, C#, and Python. Consequently, it's a valuable tool for software engineers to leverage their programming language expertise for developing gen AI applications. Lucas offers lucid explanations of various topics including prompt engineering, image generation, document processing, and RAGs. Highly recommended for professionals eager to enhance their gen AI skills.”

Chandrashekar Konda, Technical Director (AI & ML) at Oracle



“This isn’t just another AI book—it’s the blueprint for transforming your projects with cutting-edge technology. It offers a comprehensive guide to seamlessly incorporating advanced AI models into your C# and Python applications.

This book unpacks Microsoft Semantic Kernel for you and walks you through everything from setting up the Semantic Kernel to creating complex, multi-step AI functions. You’ll learn how to automate business processes and integrate generative AI capabilities into your projects with ease. The practical examples and best practices are especially valuable. A special shoutout to Packt for bringing such a valuable resource to life!”

Konstantin Semenenko, Founder and CTO at Managed Code

About the Author

Lucas A. Meyer is a Computer Scientist and Financial Economist with over two decades of experience in technology. Lucas joined Microsoft in 2002 to work with databases in Finance, joined Amazon in 2020 to work with fraud detection and prevention, and returned to Microsoft in 2022 as a Principal Research Scientist in the Microsoft's AI for Good Lab, where he works with Large Language Models (LLMs) and the Microsoft Semantic Kernel daily. Lucas' first NLP project, released in 2016, was a chatbot that streamlined several corporate finance operations and won the Adam Smith Award from London's Treasury Today. Lucas has an MBA and an M.Sc. in Finance from the University of Washington in Seattle.

Details:

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Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

Product ID: U1835463703
Condition: New

QAR25094

Price includes VAT & Import Duties
Type: Paperback
Availability: In Stock

Quantity:

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Order today to get by 7-14 business days

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Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Qatar. Any items found to be restricted or prohibited for sale within the Qatar will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Qatar are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

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Visit the Packt Publishing Store

Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications

Product ID: U1835463703
Condition: New
Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications-0
Type: Paperback

QAR25094

Price includes VAT & Import Duties
Availability: In Stock

Quantity:

|

Order today to get by 7-14 business days

This item qualifies for free delivery

Returns & Warranty policies

Imported From: United States

At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.

Every product in the BOLO catalogue is sourced through our Verified Global Supply Network of verified sellers, authorized distributors or directly from the manufacturer.

Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.

If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.

Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.

While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.

Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.

BOLO operates in accordance with the laws and regulations of Qatar. Any items found to be restricted or prohibited for sale within the Qatar will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in Qatar are listed on our website.

All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.

All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.

Description:

Unlock the power of GenAI by effortlessly linking your C# and Python apps with cutting-edge models, orchestrating diverse AI services with finesse, and crafting bespoke applications through immersive, real-world examples

Key Features

  • Link your C# and Python applications with the latest AI models from OpenAI
  • Combine and orchestrate different AI services such as text and image generators
  • Create your own AI apps with real-world use case examples that show you how to use basic generative AI, create images, process documents, use a vector database
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

In the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI.

Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents.

By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.

What you will learn

  • Write reusable AI prompts and connect to different AI providers
  • Create new plugins that extend the capabilities of AI services
  • Understand how to combine multiple plugins to execute complex actions
  • Orchestrate multiple AI services to accomplish a task
  • Leverage the powerful planner to automatically create appropriate AI calls
  • Use vector databases as additional memory for your AI tasks
  • Deploy your application to ChatGPT, making it available to hundreds of millions of users

Who this book is for

This book is for beginner-level to experienced .NET or Python software developers who want to quickly incorporate the latest AI technologies into their applications, without having to learn the details of every new AI service. Product managers with some development experience will find this book helpful while creating proof-of-concept applications. This book requires working knowledge of programming basics.

Table of Contents

  1. Introducing Microsoft Semantic Kernel
  2. Creating Better Prompts
  3. Extending Semantic Kernel
  4. Performing Complex Actions by Chaining Functions
  5. Programming with Planners
  6. Adding Memories to Your AI Application
  7. Real-World Use Case – Retrieval-Augmented Generation
  8. Real-World Use Case – Making Your Application Available on ChatGPT
Read more

Editorial Reviews

Review

“This book is a great resource for generative AI professionals seeking to build applications that require prompt engineering to construct RAGs and custom OpenAI apps. Lucas provides a high-level overview of Microsoft's Semantic Kernel SDK. This SDK integrates OpenAI, Azure OpenAI, and Hugging Face with Java, C#, and Python. Consequently, it's a valuable tool for software engineers to leverage their programming language expertise for developing gen AI applications. Lucas offers lucid explanations of various topics including prompt engineering, image generation, document processing, and RAGs. Highly recommended for professionals eager to enhance their gen AI skills.”

Chandrashekar Konda, Technical Director (AI & ML) at Oracle



“This isn’t just another AI book—it’s the blueprint for transforming your projects with cutting-edge technology. It offers a comprehensive guide to seamlessly incorporating advanced AI models into your C# and Python applications.

This book unpacks Microsoft Semantic Kernel for you and walks you through everything from setting up the Semantic Kernel to creating complex, multi-step AI functions. You’ll learn how to automate business processes and integrate generative AI capabilities into your projects with ease. The practical examples and best practices are especially valuable. A special shoutout to Packt for bringing such a valuable resource to life!”

Konstantin Semenenko, Founder and CTO at Managed Code

About the Author

Lucas A. Meyer is a Computer Scientist and Financial Economist with over two decades of experience in technology. Lucas joined Microsoft in 2002 to work with databases in Finance, joined Amazon in 2020 to work with fraud detection and prevention, and returned to Microsoft in 2022 as a Principal Research Scientist in the Microsoft's AI for Good Lab, where he works with Large Language Models (LLMs) and the Microsoft Semantic Kernel daily. Lucas' first NLP project, released in 2016, was a chatbot that streamlined several corporate finance operations and won the Adam Smith Award from London's Treasury Today. Lucas has an MBA and an M.Sc. in Finance from the University of Washington in Seattle.

Details:

Similar suggestions by Bolo

More from this brand

Similar items from “Intelligence & Semantics”

Share with

Or share with link

https://www.bolo.qa/products/U1835463703