Emy Chan (emychy)

emychy

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Company:Microsoft

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Emy Chan's starred repositories

Build-Modern-AI-Apps

Microsoft Official Build Modern AI Apps reference solutions and content. Demonstrate how to build Copilot applications that incorporate Hero Azure Services including Azure OpenAI Service, Azure Container Apps (or AKS) and Azure Cosmos DB for NoSQL with Vector Search.

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ADPE2E

Azure Data Platform End-to-End

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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 empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

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TypeChat

TypeChat is a library that makes it easy to build natural language interfaces using types.

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AI-Handwrite-Grader

Use AI to grade student handwriting assignment and test.

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tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

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azure_openai_langchain_sample

This repository contains various examples of how to use LangChain, a way to use natural language to interact with LLM, a large language model from Azure OpenAI Service.

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PodcastCopilot

Build 2023 demo

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intelligent-app-workshop

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

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openai-plugin-fastapi

A simple ChatGPT Plugin running in Codespaces for dev and Azure for production.

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gpt-azure-botservice

Chat with your Enterprise Data: powered by Azure OpenAI/ChatGPT, Cognitive Search, and Bot Service

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miyagi

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.

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cosmosdb-chatgpt

Sample application that combines Azure Cosmos DB with Azure OpenAI ChatGPT service

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azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

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azure-search-vector-samples

A repository of code samples for Vector search capabilities in Azure AI Search.

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Azure-OpenAI-and-Form-Recognizer-Workshop

This repo will track all files required for the Microsoft SDP workshop

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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azure-openai-samples

Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI in creating AI solution for various use cases across industries. This repository is mained by a community of volunters. We welcomed your contributions.

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azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

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openai-cookbook

Examples and guides for using the OpenAI API

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teamsgpt-azureopenai

Template project for integrating ChatGPT with Microsoft Teams

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prompt-engine

A library for helping developers craft prompts for Large Language Models

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chatgpt-vscode

A VSCode extension that allows you to use ChatGPT

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Azure-Analytics-and-AI-Engagement

Azure Analytics and AI Engagement

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MLOpsManufacturing

Demonstrate samples and good engineering practice for operationalizing machine learning solutions.

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azure-devtestlab

Azure DevTestLab artifacts, scripts and samples

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Polly

Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+.

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cloud-adoption-framework

Cloud Adoption Framework

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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. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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