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Generative AI Application Integration Patterns

Integrate large language models into your applications

Juan Pablo BustosLS

Created by Juan Pablo Bustos, Luis Lopez Soria

Discover how to effectively integrate large language models into your applications using proven design patterns. You'll explore practical strategies for leveraging GenAI in real-world scenarios, from ideation to deployment, while addressing key challenges and ethical considerations.

Packt | Sep 2024 | 218 min

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LevelExpert
CategoriesLLM Engineering, Generative AI Tools and AI-Assisted Productivity

What You Will Learn

You will work through real-world examples that guide you from basic prompting to advanced techniques like retrieval augmented generation. Along the way, you'll learn how to prepare data, train, deploy, and monitor GenAI models, while applying ethical and responsible development practices.

Key Features

  • Apply GenAI integration patterns for tasks like summarization and intent classification
  • Fine-tune and operationalize models with hands-on frameworks and real examples
  • Implement responsible AI practices for transparency, auditing, and governance

Target Audience

Ideal for developers, software architects, and technical product managers with a solid tech background who want to design, build, and deploy GenAI-powered applications. If you already understand core programming and want actionable strategies for integrating AI into production systems, you'll find clear, practical guidance here.

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