chat about arxiv papers
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Updated
Dec 20, 2024 - Java
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.
chat about arxiv papers
Chatbot Assistant A Java Spring Boot-based chatbot assistant powered by a locally running LLM (via Ollama) and integrated with Spring AI. This assistant can intelligently detect user intent and respond with information such as weather updates or stock prices. The architecture includes two different service modes for flexibility and experimentation.
Spring AI — Ollama & Stability AI - This repository demonstrates how to build AI-powered backend systems seamlessly integrated with REST APIs, making it easy to develop, test, and deploy AI solutions in real-world scenarios.
Framework that translates LLM responses to structured data models
AWS Bedrock Nova, AWS Bedrock Claude and Ollama
A Skript Addon that allows developers to interface with the Groq inference API's hyper fast LPU engines for OS LLMs like Llama 3 & Mixtral-8x7B. (original by DereWah/Skript-GPT)
Sistema di gestione conferenze (CMS) con tagging automatizzato tramite LLM
Chess/国际象棋对弈与教学/棋类教学/实时对战/uniapp/前后端全栈/华东理工大学/本科毕设
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Practice languages through chatting with a local AI model, using custom scenarios.
LLMHelper is a RAG-based system that integrates Spring Boot, LangChain4j, and Ollama to automate IT ticket classification. It simplifies ticket routing and processing by using local LLM capabilities.
A Discord bot helping to make daily committing habit better. Can be used in any Discord groupchat, including yours.
documentation-generator-llm is a plug-and-play tool that automatically generates clean and contextual Markdown documentation for your local or GitHub-hosted repositories using Large Language Models (LLMs).