Description

Book Synopsis

1. Megabrains 101: Generative AI & LLMs Unboxed.- 2. First Contact: “Hello, LLM” with Spring Boot.- 3. The Transformer Saga—From Attention to Fine-Tuning.- 4. Bring Your Own Model: Self-Hosting with Ollama.- 5. Power Tools: LangChain4j Quick-Start.- 6. Integrating LLMs with Java Applications.- 7. From Chatty to Clever: Retrieval-Augmented Generation.- 8. Spring AI Ninja Moves.- 9. Prompt Alchemy: Patterns that Make Models Look Smarter.- 10. Swiss-Army LLMs: Tool Calls in Spring AI.- 11. Agents Assemble! Building Autonomous Workflows.- 12. Quarkus + LangChain4j: Lightning-Fast Gen AI.- 13. Jlama & Friends: Hosting Models the Java Way.- 14. Seeing Is Believing: Multimodal LLMs & Image Hacking.- 15. Does It Even Work? Testing & Evaluating LLM Apps.- 16. Cloud Power-Ups—Bedrock, Vertex & Azure OpenAI.- 17. Talking in Protocols: The MCP Revolution.- 18. Can You See Me Now? Observability for LLM Pipelines.- 19. Native-Speed Machine Learning in Java: DJL, ONNX & JNI.- 20. Architectures of Tomorrow: From Monoliths to Modular Minds.

Generative AIDriven Application Development with Java

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    A Paperback by Satej Kumar Sahu

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      Publisher: Apress
      Publication Date: Publication Date: 27/11/2025
      ISBN13: 9798868816086, 979-8868816086
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      1. Megabrains 101: Generative AI & LLMs Unboxed.- 2. First Contact: “Hello, LLM” with Spring Boot.- 3. The Transformer Saga—From Attention to Fine-Tuning.- 4. Bring Your Own Model: Self-Hosting with Ollama.- 5. Power Tools: LangChain4j Quick-Start.- 6. Integrating LLMs with Java Applications.- 7. From Chatty to Clever: Retrieval-Augmented Generation.- 8. Spring AI Ninja Moves.- 9. Prompt Alchemy: Patterns that Make Models Look Smarter.- 10. Swiss-Army LLMs: Tool Calls in Spring AI.- 11. Agents Assemble! Building Autonomous Workflows.- 12. Quarkus + LangChain4j: Lightning-Fast Gen AI.- 13. Jlama & Friends: Hosting Models the Java Way.- 14. Seeing Is Believing: Multimodal LLMs & Image Hacking.- 15. Does It Even Work? Testing & Evaluating LLM Apps.- 16. Cloud Power-Ups—Bedrock, Vertex & Azure OpenAI.- 17. Talking in Protocols: The MCP Revolution.- 18. Can You See Me Now? Observability for LLM Pipelines.- 19. Native-Speed Machine Learning in Java: DJL, ONNX & JNI.- 20. Architectures of Tomorrow: From Monoliths to Modular Minds.

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