"Awesome-LLM: a curated list of Azure OpenAI & Large Language Models" 🔎References to Azure OpenAI, 🦙Large Language Models, and related 🌌 services and 🎋libraries.
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Updated
Jun 14, 2024 - Jupyter Notebook
"Awesome-LLM: a curated list of Azure OpenAI & Large Language Models" 🔎References to Azure OpenAI, 🦙Large Language Models, and related 🌌 services and 🎋libraries.
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.
A collection of Semantic Kernel based experiments with Large Language Models.
A multi-agent chatroom for AutoGen agents
Recipe Catalog is a multilayered .NET 8 project showcasing a Web catalog for recipes with AI capabilities.
open-blazorui is a simple UI for your local LLMs.
A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
🔥 Building composable LLM applications & workflow with Java.
This repository contains a collection of AI projects I've been working on, written in C# and utilizing various AI APIs.
A lightweight implementation of Kernel Memory as a Service
🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.
Build your custom AI Solution integrating Semantic Kernel into your Azure Container Apps.
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database.
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