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datasets of natural language understanding and dialogue state tracking
Dialogue State Tracking (DST) Papers, Datasets, Resources 🤩
Official code for the publication "Large Language Models as Zero-shot Dialogue State Tracker through Function Calling" https//arxiv.org/abs/2402.10466
The Schema-Guided Dialogue Dataset
React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely cust…
DST(Dialogue State Tracker) for LLM(Large Language Model)
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
This repo includes ChatGPT prompt curation to use ChatGPT better.
fastutil extends the Java™ Collections Framework by providing type-specific maps, sets, lists and queues.
FastBee开源物联网平台，简单易用，可用于搭建物联网平台以及二次开发和学习。适用于智能家居、智慧办公、智慧社区、农业监测、水利监测、工业控制等。
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini/Claude LLM 应用。
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
🚀 LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
A Java library to use the OpenAI Api in the simplest possible way.
Start building practical applications that allow you to interact with data using LangChain and LLMs.
C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程