Description:
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.
Reviews:
5.0 out of 5 stars Great Book To Bring Your Gen AI ideas to life
If you are a professional in the Gen AI space looking to up your game, this Lucas's book is a must have! It offers a great deep dive into prompt engineering and building robust AI applications with Microsoft's Semantic Kernel SDK.What makes it stand out?Novel Code Design: A fresh approach to managing AI functionalities, similar to the leap classes brought to object-oriented programming.Seamless AI Integration: Streamlines the use of LLMs and other AI models for more efficient and powerful development.Flexible & Familiar: Innovates while allowing for the use of traditional Python functions - which makes the transition smooth for developers.This book is highly recommended for professionals eager to enhance their Gen AI skills.
4.0 out of 5 stars Wants for more
I know I need the basics, but chapters 7 & 8 are what I want more of. These examples were somewhat thin. I'm sure there was a rush to publish and the book was complete in that respect, but now I need the next advanced book.
4.0 out of 5 stars Cool tech for MSFT kool-aid drinkers
The Semantic Kernel feels to me like MSFT's version of CrewAI or similar type of programming + calling AI models type vibes.I liked the various examples, and found the idea of planners, where you can essentially get your code to dynamically generate plans for doing stuff you hadn't written before, particularly intriguing.Also interesting are the examples of reading Word docs and working with Excel files, since that are what business runs off of anyways.I did however find the real world examples to be a little bit weak, just RAG and making a custom GPT. The examples of working with Excel and Word I think were actually more relevant.Given that I also ditched OpenAI for Claude earlier this year, I am not as enthusiastic about the book's narrow focus on OpenAI models.If you're a MSFT person, interested in working with AI apps, this might be of interest to you.
1.0 out of 5 stars Outdated and hard to follow
The book is extremely outdated, and much of the code no longer works. It is also very hard to follow, as the author does an extraordinarily poor job of explaining anything. I learned semantic kernel by Googling and using Chat GPT. PLEASE save your money. Chat GPT and Google will be inifinitely better teachers than this trash.
5.0 out of 5 stars Microsoft Semantic Kernel
This book is a fantastic resource for anyone looking to integrate AI into their applications. Lucas A. Meyer breaks down complex concepts into easy-to-understand steps, making it accessible even for beginners. The book covers how to link C# and Python applications with OpenAI models and use various AI services, such as text and image generators.What I loved most were the real-world examples. They provide practical insights on using generative AI, creating images, processing documents, and using a vector database. The inclusion of these examples helps you see the potential applications in a tangible way.The book is well-structured, starting from basic introductions to more advanced topics like creating and combining plugins. It also explains how to use vector databases for memory expansion, which is crucial for more complex AI tasks. Great addition to my tech library!!
5.0 out of 5 stars Must for Gen AI enthusiasts
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.
5.0 out of 5 stars The definitive guide to building intricate AI Applications
I did the technical review on this book, but it's truly a banger. Highly recommend
Visit the Packt Publishing Store
Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications
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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
AED25271
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United States
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source 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.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
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 United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates 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:
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.
Reviews:
5.0 out of 5 stars Great Book To Bring Your Gen AI ideas to life
If you are a professional in the Gen AI space looking to up your game, this Lucas's book is a must have! It offers a great deep dive into prompt engineering and building robust AI applications with Microsoft's Semantic Kernel SDK.What makes it stand out?Novel Code Design: A fresh approach to managing AI functionalities, similar to the leap classes brought to object-oriented programming.Seamless AI Integration: Streamlines the use of LLMs and other AI models for more efficient and powerful development.Flexible & Familiar: Innovates while allowing for the use of traditional Python functions - which makes the transition smooth for developers.This book is highly recommended for professionals eager to enhance their Gen AI skills.
4.0 out of 5 stars Wants for more
I know I need the basics, but chapters 7 & 8 are what I want more of. These examples were somewhat thin. I'm sure there was a rush to publish and the book was complete in that respect, but now I need the next advanced book.
4.0 out of 5 stars Cool tech for MSFT kool-aid drinkers
The Semantic Kernel feels to me like MSFT's version of CrewAI or similar type of programming + calling AI models type vibes.I liked the various examples, and found the idea of planners, where you can essentially get your code to dynamically generate plans for doing stuff you hadn't written before, particularly intriguing.Also interesting are the examples of reading Word docs and working with Excel files, since that are what business runs off of anyways.I did however find the real world examples to be a little bit weak, just RAG and making a custom GPT. The examples of working with Excel and Word I think were actually more relevant.Given that I also ditched OpenAI for Claude earlier this year, I am not as enthusiastic about the book's narrow focus on OpenAI models.If you're a MSFT person, interested in working with AI apps, this might be of interest to you.
1.0 out of 5 stars Outdated and hard to follow
The book is extremely outdated, and much of the code no longer works. It is also very hard to follow, as the author does an extraordinarily poor job of explaining anything. I learned semantic kernel by Googling and using Chat GPT. PLEASE save your money. Chat GPT and Google will be inifinitely better teachers than this trash.
5.0 out of 5 stars Microsoft Semantic Kernel
This book is a fantastic resource for anyone looking to integrate AI into their applications. Lucas A. Meyer breaks down complex concepts into easy-to-understand steps, making it accessible even for beginners. The book covers how to link C# and Python applications with OpenAI models and use various AI services, such as text and image generators.What I loved most were the real-world examples. They provide practical insights on using generative AI, creating images, processing documents, and using a vector database. The inclusion of these examples helps you see the potential applications in a tangible way.The book is well-structured, starting from basic introductions to more advanced topics like creating and combining plugins. It also explains how to use vector databases for memory expansion, which is crucial for more complex AI tasks. Great addition to my tech library!!
5.0 out of 5 stars Must for Gen AI enthusiasts
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.
5.0 out of 5 stars The definitive guide to building intricate AI Applications
I did the technical review on this book, but it's truly a banger. Highly recommend
Similar suggestions by Bolo
More from this brand
Similar items from “Intelligence & Semantics”
Share with
Or share with link
https://www.bolo.ae/products/U1835463703