arafkarsh/ms-springboot-ai
Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math
This project provides practical examples for integrating advanced AI capabilities, like natural language processing and custom data handling, into Spring Boot applications. It helps software architects and lead developers build intelligent services such as chatbots for sentiment analysis or context-aware assistants. You can feed it various data, and it outputs AI-powered functionalities for your applications.
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Use this if you are a Java developer creating new Spring Boot applications and want to add generative AI features using various Large Language Models (LLMs) or Deep Learning4J.
Not ideal if you are looking for a ready-to-use AI application or a non-developer solution, as this project focuses on providing code examples for developers.
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Language
Java
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Apache-2.0
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Last pushed
Jan 07, 2025
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