AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems
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AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems
AI Agents in Action teaches you to develop and deliver LLM-based assistants and agents that can independently process information, make decisions, and learn from interactions.
AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems
Elementas #: 119895901

AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems

Elementas #: 119895901

€ 52

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AI Agents in Action teaches you to develop and deliver LLM-based assistants and agents that can independently process information, make decisions, and learn from interactions.
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What Stands Out

Real-Time Insights
Leverage advanced AI algorithms to deliver real-time insights that enhance decision-making processes, empowering users to respond swiftly to shifting market dynamics.
User-Friendly Interface
Designed with simplicity in mind, the intuitive interface ensures accessibility for all skill levels, fostering seamless interaction and reducing the learning curve for new users.
Customizable Solutions
Tailor the AI capabilities to meet specific business needs with customizable features, providing flexible solutions that drive efficiency and optimize performance across diverse industries.

Produkto Aprašymas

Shop AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems online at a best price in Lithuania. 1633436349
Publisher Manning Publications
Publication date March 25, 2025
Language English
Print length 344 pages
ISBN-10 1633436349
ISBN-13 978-1633436343
Item Weight 1.25 pounds (570 grams)
Dimensions 7.38 x 0.86 x 9.25 inches (18.7 x 2.2 x 23.5 cm)

Who Should Buy?

Suitable For
  • Developers

    Ideal for developers looking to implement AI agents into applications for enhanced functionality and user interaction.

  • Business Analysts

    Business analysts can leverage AI agents to analyze data trends and improve decision-making processes effectively.

  • Tech Enthusiasts

    Perfect for tech enthusiasts eager to explore AI capabilities and their real-world applications through hands-on experience.

Not Suitable For
  • Casual Users

    Not suitable for casual users seeking simple solutions without the complexity of AI implementation and management.

PRODUKTO APRAŠYMAS

AI Agents in Action: Build, orchestrate, and deploy autonomous multi-agent systems

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Intelligence & Semantics Editorial Review

**** The product, "AI Agents in Action," has received positive feedback from customers who are eager to engage with the material. Reviewers Consistently highlight the quality of the content, emphasizing that it introduces a wide array of use cases and examples that not only demonstrate the capabilities of AI agents but also enhance the reader's understanding of the subject matter. The structural organization of the book has been particularly praised, as it makes the content easy to digest and accessible for readers, whether they are newcomers to the field or have prior knowledge. Furthermore, readers report that they found the writing style engaging and informative, making the learning experience both enjoyable and valuable. Overall, it is evident that this book is well-received for its educational merit in the field of AI, making it a worthwhile read for anyone interested in this rapidly evolving area. **

Customer Reviews & Ratings

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Apžvelgti šį produktą

Dalinkitės savo mintimis su kitais klientais

Argumentai

  • Quality content with informative use cases and examples.
  • Well-organized and easy-to-read structure.
  • Engaging writing style that enhances learning.
  • Valuable resource for those interested in AI.

Minusai

  • Not mentioned (All reviews are positive without noted drawbacks).

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€ 52

Užsisakykite dabar ir gaukite jį Antradienis, Rugpjūtis 25

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Savybės ir privalumai

  • Learn to create LLM-powered autonomous agents.
  • Develop AI assistants that adapt to business and personal needs.
  • Understand and manage AI agent behavior and decision-making.
  • Utilize OpenAI Assistants API and design multi-agent systems.
  • Implement feedback loops for continual learning.
  • Transform routine tasks with independent, intelligent agents.

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