Building Generative AI Agents
Using LangGraph, AutoGen, and CrewAI
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8% KEDVEZMÉNY?
- A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
- Kiadói listaár EUR 58.84
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24 959 Ft (23 771 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 8% (cc. 1 997 Ft off)
- Discounted price 22 963 Ft (21 869 Ft + 5% áfa)
24 959 Ft
Beszerezhetőség
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A termék adatai:
- Kiadás sorszáma First Edition
- Kiadó Apress
- Megjelenés dátuma 2025. június 11.
- Kötetek száma 1 pieces, Book
- ISBN 9798868811333
- Kötéstípus Puhakötés
- Terjedelem168 oldal
- Méret 235x155 mm
- Nyelv angol
- Illusztrációk 7 Illustrations, black & white; 22 Illustrations, color 700
Kategóriák
Rövid leírás:
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack.
Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It?s why the world?s largest technology companies ? like Microsoft, Apple, Google, and Meta ? are making enormous investments in this category.
While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time.
Building Generative AI Agents serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them.
TöbbHosszú leírás:
The dawn of AI agents is upon us. Tech visionaries like Bill Gates, Andrew Ng, and Vinod Khosla have highlighted the monumental potential of this powerful technology. This book will provide the knowledge and tools necessary to build generative AI agents using the most popular frameworks, such as AutoGen, LangChain, LangGraph, CrewAI, and Haystack.
Recent breakthroughs in large language models have opened up unprecedented possibilities. After years of gradual progress in machine learning and deep learning, we are now witnessing novel approaches capable of understanding, reasoning, and generating content in ways that promise to revolutionize nearly every industry. This platform shift is as significant as the advent of mainframes, PCs, cloud computing, mobile technology, and social media. It?s why the world?s largest technology companies ? like Microsoft, Apple, Google, and Meta ? are making enormous investments in this category.
While chatbots like ChatGPT, Claude, and Gemini have demonstrated remarkable potential, the years ahead will see the rise of generative AI agents capable of executing complex tasks on behalf of users. These agents already exhibit capabilities such as running test suites, searching the web for documentation, writing software, answering questions based on vast organized information, and performing intricate web-based tasks across multiple domains. They can autonomously investigate cybersecurity incidents and address complex customer support needs. By integrating skills, knowledge bases, planning frameworks, memory, and feedback loops, these systems can handle many tasks and improve over time.
Building Generative AI Agents serves as a high-quality guide for developers to understand when and where AI agents can be useful, their advantages and disadvantages, and practical advice on designing, building, deploying, and monitoring them.
What You Will Learn
- The foundational concepts, capabilities, and potential of AI agents.
- Recent innovations in large language models that have enabled the development of AI agents.
- How to build AI agents for launching a product, creating a financial plan, handling customer service, and using Retrieval Augmented Generation (RAG).
- Essential frameworks for building generative AI agents, including AutoGen, LangChain, LangGraph, CrewAI, and Haystack.
- Step-by-step guidance on designing, building, and deploying AI agents.
- Insights into the future of AI agents and their potential impact on various industries.
Who This Book Is For
Experienced software developers
TöbbTartalomjegyzék:
Chapter 1: Introduction to Generative AI Agents.- Chapter 2: Generative AI Foundations.- Chapter 3: Types of Agents.- Chapter 4: Open AI GPT Agents and the Assistants API.- Chapter 5: Development Agents.- Chapter 6: Crew AI.- Chapter 7: AutoGen.- Chapter 8: LangChain.- Chapter 9: LangGraph.- Chapter 10: Haystack.- Chapter 11: Takeaways.
Több
