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  • Category upSpring AI
  • Category upArtificial Intelligence

Tag: LLM

Articles on working with large language models in Java, primarily through Spring AI. Covers integrating models from OpenAI, Anthropic, Groq, DeepSeek, and Amazon; building AI agents; using MCP; semantic caching; vector databases; and testing LLM responses.

>> Spring AI’s Dynamic Tool Discovery

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>> A Guide to Agent Skills in Spring AI

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>> Anthropic Agent Skills Support in Spring AI

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>> Introduction to TOON Format in Java

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>> Building Effective Agents with Spring AI

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>> Creating an AI Agent in Java Using Embabel Agent Framework

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>> Building LLM-as-a-Judge Using Recursive Advisors in Spring AI

>> Testing Model Context Protocol (MCP) Tools in Spring AI

>> Explainable AI Agents: Capture LLM Tool Call Reasoning with Spring AI

>> A Guide to Spring AI Recursive Advisors

>> MCP Elicitations With Spring AI

>> Building AI Agents Using Google Agent Development Kit (ADK)

>> Introduction to Jlama

>> Introduction to simple-openai

>> Implementing Semantic Caching Using Spring AI

>> Configuring Multiple LLMs in Spring AI

>> Using Oracle Vector Database With Spring AI

>> Using Groq Chat with Spring AI

>> Spring AI With Docker Model Runner

>> Text-to-SQL Implementation Using Spring AI

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