
Generative AI Application Integration Patterns
Integrate large language models into your applications
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
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.





