Generative AI Application Integration Patterns Integrate large language models into your applications
Unleash the transformative potential of GenAI with this comprehensive guide that serves as an indispensable roadmap for integrating large language models into real-world applications. Gain invaluable insights into identifying compelling use cases, leveraging state-of-the-art models effectively, depl...
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| Médium: | E-kniha |
| Jazyk: | angličtina |
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Birmingham
Packt Publishing
2024
Packt Publishing, Limited Packt Publishing Limited |
| Vydání: | 1 |
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| ISBN: | 9781835887608, 1835887600 |
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- Table of Contents Introduction to Generative AI Design PatternsIdentifying Generative AI Use CasesDesigning Patterns for Interacting with Generative AIGenerative AI Batch & Real-time Integration PatternsIntegration Pattern: Batch Metadata ExtractionIntegration Pattern: Batch SummarizationIntegration Pattern: Real-Time Intent ClassificationIntegration Pattern: Real-Time Retrieval Augmented GenerationOperationalizing Generative AI Integration PatternsEmbedding Responsible AI into your GenAI Applications
- Title Page Preface Table of Contents 1. Introduction to Generative AI Patterns 2. Identifying Generative AI Use Cases 3. Designing Patterns for Interacting with Generative AI 4. Generative AI Batch and Real-Time Integration Patterns 5. Integration Pattern: Batch Metadata Extraction 6. Integration Pattern: Batch Summarization 7. Integration Pattern: Real-Time Intent Classification 8. Integration Pattern: Real-Time Retrieval Augmented Generation 9. Operationalizing Generative AI Integration Patterns 10. Embedding Responsible AI into Your GenAI Applications Index
- Cover -- Copyright -- Foreword -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction to Generative AI Patterns -- From AI predictions to generative AI -- Predictive AI vs generative AI use case ideation -- A change in the paradigm -- Predictive AI use case development - simplified lifecycle -- Generative AI use case development - simplified lifecycle -- General generative AI concepts -- Generative AI model architectures -- Techniques available to optimize foundational models -- Techniques to augment your foundational model responses -- Constant evolution across the generative AI space -- Introducing generative AI integration patterns -- Summary -- Chapter 2: Identifying Generative AI Use Cases -- When to consider generative AI -- Realizing business value -- Identifying Generative AI use cases -- Potential business-focused use cases -- Generative AI deployment and hosting options -- Summary -- Chapter 3: Designing Patterns for Interacting with Generative AI -- Defining an integration framework -- Entry point -- Prompt pre-processing -- Inference -- Results post-processing -- Selecting from amongst multiple outputs -- Refining generated outputs -- Results presentation -- Logging -- Summary -- Chapter 4: Generative AI Batch and Real-Time Integration Patterns -- Batch and real-time integration patterns -- Different pipeline architectures -- Application integration patterns in the integration framework -- Entry point -- Prompt preprocessing -- Inference -- Result post-processing -- Result presentation -- Use case example - search enhanced by GenAI -- Batch integration - document ingestion -- Real-time integration - search -- Summary -- Chapter 5: Integration Pattern: Batch Metadata Extraction -- Use case definition -- Architecture -- Entry point -- Prompt pre-processing -- Inference -- Result post-processing -- Result presentation
- Summary -- Chapter 6: Integration Pattern: Batch Summarization -- Use case definition -- Architecture -- Entry point -- Prompt preprocessing -- Inference -- Result post-processing -- Result presentation -- Summary -- Chapter 7: Integration Pattern: Real-Time Intent Classification -- Use case definition -- Architecture -- Entry point -- Prompt pre-processing -- Inference -- Result post-processing -- Result presentation -- Logging and monitoring -- Summary -- Chapter 8: Integration Pattern: Real-Time Retrieval Augmented Generation -- Use case definition -- Architecture -- Entry point -- Prompt preprocessing -- Inference -- Result post-processing -- Result presentation -- Use case demo -- The Gradio app -- Summary -- Chapter 9: Operationalizing Generative AI Integration Patterns -- Operationalization framework -- Data layer -- A real-world example: Part 1 -- Training layer -- A real-world example: Part 2 -- Inference layer -- A real-world example: Part 3 -- Operations layer -- CI/CD and MLOps -- Monitoring and observability -- Evaluation and monitoring -- Alerting -- Distributed tracing -- Logging -- Cost optimization -- Summary -- Chapter 10: Embedding Responsible AI into Your GenAI Applications -- Introduction to responsible AI -- Fairness in GenAI applications -- Interpretability and explainability -- Privacy and data protection -- Safety and security in GenAI systems -- Google's approach to responsible AI -- Google's Secure AI Framework (SAIF) -- Google's Red Teaming approach -- Anthropic's approach to responsible AI -- Summary -- Other Books You May Enjoy -- Index
- Generative AI Application Integration Patterns: Integrate large language models into your applications