A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
Logistics Assistant is a logistics assistant tool based on Spring AI and Tongyi grand model, aiming to support the landing and exploration of business scenarios through large-scale models. The tool can help users optimize logistics processes, improve efficiency and reduce costs. The main functions include query and signing operation.
Effortlessly integrate Replicate’s powerful AI models with Java 21 + Spring Boot. This project offers fast, modular access to advanced AI features. Perfect for bringing cutting-edge AI into your apps! 🚀
AI-powered job matching platform that analyzes CVs and finds relevant job descriptions using Spring Boot, Ollama, Redis, MySQL, and Qdrant.
An AI code review engine to assist manual code reviews.
FinTafsir is a Java Spring Boot API that extracts key information from uploaded PDF files using Apache PDFBox and OpenAI GPT, returning structured results like name, email, and balance details.
A chat-based AI travel planning assistant that helps users create personalized travel itineraries using real-time data from TripAdvisor
spring-starter, which enables semantic search, backed by OpenAI, by couple of lines
A small POC for improving LLM observability in ed software. 🐾
AI Chatbot Project - Based on Spring Boot and LLM and RAG
A minecraft 1.21 spigot plugin allows to easily break language barriers by using ollama on the server to translate all messages into a specfic target language.
A command-line interface for Ollama LLM models, designed for seamless integration with shell scripts and command-line workflows.