Generative AI-Driven Application Development with Java
Generative AI-Driven Application Development with Java
Generative AI-Driven Application Development with Java
Generative AI-Driven Application Development with Java
Generative AI-Driven Application Development with Java
Generative AI-Driven Application Development with Java
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Generative AI-Driven Application Development with Java

Generative AI-Driven Application Development with JavaLeveraging Large Language Models in Modern Java Applications

Author(s): Satej Kumar Sahu

Format: Paperback

Publisher: APress, United States

Imprint: APress

ISBN-13: 9798868816086, 979-8868816086

Synopsis

This is the first hands-on guide that takes you from a simple Hello, LLM to production-ready microservices, all within the JVM. Youll integrate hosted models such as OpenAIs GPT-4o, run alternatives with Ollama or Jlama, and embed them in Spring Boot or Quarkus apps for cloud or on-pre deployment.

Youll learn how prompt-engineering patterns, Retrieval-Augmented Generation (RAG), vector stores such as Pinecone and Milvus, and agentic workflows come together to solve real business problems. Robust test suites, CI/CD pipelines, and security guardrails ensure your AI features reach production safely, while detailed observability playbooks help you catch hallucinations before your users do. Youll also explore DJL, the future .

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generative ai-driven application development with java

Generative AI-Driven Application Development with Java

Generative AI-Driven Application Development with JavaLeveraging Large Language Models in Modern Java Applications

Author(s): Satej Kumar Sahu

Format: Paperback

Publisher: APress, United States

Imprint: APress

ISBN-13: 9798868816086, 979-8868816086

Synopsis

This is the first hands-on guide that takes you from a simple Hello, LLM to production-ready microservices, all within the JVM. Youll integrate hosted models such as OpenAIs GPT-4o, run alternatives with Ollama or Jlama, and embed them in Spring Boot or Quarkus apps for cloud or on-pre deployment.

Youll learn how prompt-engineering patterns, Retrieval-Augmented Generation (RAG), vector stores such as Pinecone and Milvus, and agentic workflows come together to solve real business problems. Robust test suites, CI/CD pipelines, and security guardrails ensure your AI features reach production safely, while detailed observability playbooks help you catch hallucinations before your users do. Youll also explore DJL, the future .

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Product Description

Generative AI-Driven Application Development with JavaLeveraging Large Language Models in Modern Java Applications

Author(s): Satej Kumar Sahu

Format: Paperback

Publisher: APress, United States

Imprint: APress

ISBN-13: 9798868816086, 979-8868816086

Synopsis

This is the first hands-on guide that takes you from a simple Hello, LLM to production-ready microservices, all within the JVM. Youll integrate hosted models such as OpenAIs GPT-4o, run alternatives with Ollama or Jlama, and embed them in Spring Boot or Quarkus apps for cloud or on-pre deployment.

Youll learn how prompt-engineering patterns, Retrieval-Augmented Generation (RAG), vector stores such as Pinecone and Milvus, and agentic workflows come together to solve real business problems. Robust test suites, CI/CD pipelines, and security guardrails ensure your AI features reach production safely, while detailed observability playbooks help you catch hallucinations before your users do. Youll also explore DJL, the future .

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paperback

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