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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.

>> Introduction to Spring AI

  • popular
  • reference

>> Exploring Model Context Protocol (MCP) With Spring AI

  • popular

>> Introduction to Tribuo – A Java Machine Learning Library

>> Building an AI Chatbot Using DeepSeek Models With Spring AI

>> Testing LLM Responses Using Spring AI Evaluators

>> Using Amazon Nova Models With Spring AI

>> Using Anthropic’s Claude Models With Spring AI

>> Using Hugging Face Models With Spring AI and Ollama

>> Implementing an AI Assistant with Spring AI

>> A Guide to Spring AI Advisors

>> Create a ChatGPT Like Chatbot With Ollama and Spring AI

>> Build a Conversational AI With Apache Camel, LangChain4j, and WhatsApp

>> Function Calling in Java and Spring AI Using the Mistral AI API

>> A Guide to Structured Output in Spring AI

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