GitHub - microsoft/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) systemYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - microsoft/aici: AICI: Prompts as (Wasm) Programs
The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during t
GitHub - microsoft/UFO: A UI-Focused Agent for Windows OS Interaction.
📅 2024-07-06: We have a New Release for v1.0.0!. You can check out our documentation. We welcome your contributions and feedback! 📅 2024-06-28: We are thrilled to announce that our official introduction video is now available on YouTube! 📅 2024-06-25: New Release for v0.2.1! We are excited to announce the release of version 0.2.1! This update includes several new features and improvements: Host
GitHub - microsoft/autogen: A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
📚 Cite paper. 🔥 Mar 26: Andrew Ng gave a shoutout to AutoGen in What's next for AI agentic workflows at Sequoia Capital's AI Ascent. 🔥 Mar 3: What's new in AutoGen? 📰Blog; 📺Youtube. 🔥 Mar 1: the first AutoGen multi-agent experiment on the challenging GAIA benchmark achieved the No. 1 accuracy in all the three levels. 🎉 Jan 30: AutoGen is highlighted by Peter Lee in Microsoft Research Forum
GitHub - microsoft/azure-genai-design-patterns
This repository contains a set of design patterns illustrating how to effectively build Agentic solutions powered by LLMs (Large Language Models) in Azure. Agentic AI systems are designed to autonomously pursue complex goals and workflows with limited direct human supervision. These systems act as independent agents, making decisions and performing tasks autonomously. The main capabilities of Agen
GitHub - microsoft/semantic-kernel: Integrate cutting-edge LLM technology quickly and easily into your apps
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel special, however, is its ability to automatically orchestrate plugins
DeepSpeed/blogs/deepspeed-chat at master · microsoft/DeepSpeed
ChatGPT-like models have taken the AI world by storm, and it would not be an overstatement to say that its impact on the digital world has been revolutionary. These models are incredibly versatile, capable of performing tasks like summarization, coding, and translation with results that are on-par or even exceeding the capabilities of human experts. Given the sheer power of these models, multiple
GitHub - microsoft/responsible-ai-toolbox: Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empowe
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
GitHub - microsoft/SynapseML: Simple and Distributed Machine Learning
SynapseML (previously known as MMLSpark), is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. SynapseML provides simple, composable, and distributed APIs for a wide variety of different machine learning tasks such as text analytics, vision, anomaly detection, and many others. SynapseML is built on the Apache Spark distributed computing fram
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GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
GitHub - microsoft/table-transformer: Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
GitHub - microsoft/inshellisense: IDE style command line auto complete
GitHub - microsoft/generative-ai-for-beginners: 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
GitHub - microsoft/azurechat: 🤖 💼 Azure Chat Solution Accelerator powered by Azure Open AI Service
Release v4.0.0 · microsoft/LightGBM
GitHub - microsoft/qlib: Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qli
GitHub - microsoft/LMOps: General technology for enabling AI capabilities w/ LLMs and MLLMs
GitHub - microsoft/fluentui-emoji: A collection of familiar, friendly, and modern emoji from Microsoft
GitHub - microsoft/api-guidelines: Microsoft REST API Guidelines
GitHub - microsoft/torchgeo: TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
