Integrate cutting-edge LLM technology quickly and easily into your apps
-
Updated
Jul 11, 2024 - C#
Integrate cutting-edge LLM technology quickly and easily into your apps
The AI Agent Framework in .NET
RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.
Open deep learning compiler stack for Kendryte AI accelerators ✨
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Bindings of gpt4all language models for Unity3d running on your local machine
ASP.NET Core Web, WebApi & WPF implementations for LLama.cpp & LLamaSharp
A ChatGPT plugin built with Semantic Kernel that queries a database via natural language. Winner of Microsoft's first Semantic Kernel hackathon in the "Most Useful for the Enterprise" category.
SQL Server connector for Semantic Kernel plugin and Kernel Memory
AI powered dialogue visual designer for Unity
一个用于在Unity中开发在线和离线聊天机器人的管线。A pipeline designed to create online and offline chat-bot in Unity.
Fast and memory-efficient library for WordPiece tokenization as it is used by BERT.
PalmHill.BlazorChat is a chat application and API built with Blazor WebAssembly, SignalR, and WebAPI, featuring real-time LLM conversations, markdown support, customizable settings, and a responsive design. This project supports Llama2 models and was tested with Orca2.
Add a description, image, and links to the llm topic page so that developers can more easily learn about it.
To associate your repository with the llm topic, visit your repo's landing page and select "manage topics."