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1
Intro
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Journey to GenAI
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Applying GenAI
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Capabilities
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Constraints
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Demo
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GenAI patterns
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Demo: System prompt
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Demo: Output converters
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Demo: Prompt stuffing
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Demo: RAG
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Demo: Chat memory
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Demo: Function calling
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Demo: Multimodality
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Demo: Evaluation
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Demo: Semantic search
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Use case
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Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore Spring AI, a new framework for seamlessly integrating AI into enterprise Java applications, in this comprehensive conference talk by Christian Tzolov, Spring Framework Engineer at Broadcom and Lead Developer for the Spring AI project. Dive into key AI concepts and learn how to quickly start writing AI applications using Spring's traditional design principles. Discover features like portable client APIs for AI model interaction, effective prompt creation techniques, and converting AI responses to POJOs. Witness demonstrations of use cases such as "query over your docs" using embeddings and vector databases, and explore the popular RAG pattern. Gain insights into evaluating AI application performance and implementing various GenAI patterns, including system prompts, output converters, prompt stuffing, chat memory, function calling, multimodality, and semantic search. Understand how Spring AI addresses the integration challenges of combining enterprise data and APIs with AI models, providing a comprehensive toolkit for building robust AI-powered applications. Read more

Spring AI: Integrating AI into Enterprise Applications with Java

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