• Document Processing with Azure AI Samples - Document Intelligence plus generative enrichment examples.
• Enterprise Logging - Comprehensive logging of Azure OpenAI model Usage.
• Azure-samples: Accelerator Collection - Azure-samples Accelerator Collection.
• Conversational-Azure-OpenAI-Accelerator - Conversational AI solution accelerator using Azure OpenAI.
• Evaluating a RAG Chat App - Tools for evaluation of RAG Chat Apps using Azure AI Evaluate SDK.
• AI Samples for .NET - Official .NET AI samples (evaluation, integration).
• AI-in-a-Box - AI-in-a-Box aims to provide an "Azure AI/ML Easy Button" for common scenarios.
• Azure-llm-fine-tuning - SLM/LLM Fine-tuning on Azure.
• Azure Accelerator Repos - Collection of official Azure accelerators.
• Azure-Cognitive-Search-Azure-OpenAI-Accelerator - Proof of Concept (POC) for a Generative AI Multi-Agent Architecture using Azure Services.
• Azure Functions OpenAI Extension - OpenAI bindings for Azure Functions (C#).
• Azure Multimodal AI + LLM Processing Accelerator - Build multimodal data processing pipelines with Azure AI Services + LLMs.
• Azure OpenAI Network Latency Test Script - Azure OpenAI Network Latency Test Script.
• Azure OpenAI with AKS by Terraform (simple version) - Azure OpenAI with AKS by Terraform (simple version).
• Azure OpenAI RAG workshop - RAG using LangChain.js and OpenAI. Hosted on Azure Static Web Apps and Azure Container Apps, with Azure AI Search as the vector database.
• Azure OpenAI workshop - Workshop materials to build intelligent solutions on Open AI.
• Azure OpenAI samples - Azure OpenAI Samples is a collection of code samples illustrating how to use Azure Open AI.
• Azure SQL DB + AOAI - AI applications built on data from an Azure SQL Database.
• Azure-Samples Accelerators - Community driven sample accelerators.
• Fabric notebooks for analyzing chat history stored in CosmosDB - Fabric notebooks for analyzing chat history.
• GPT-RAG - Enterprise RAG solution accelerator.
• Microsoft AI Tour - A session and workshop how to best leverage AI.
• Microsoft Copilot Studio Samples - Samples and artifacts for Microsoft Copilot Studio.
• MSUS Azure Accelerators - Partner accelerator implementations.
• Model Context Protocol Curriculum for Beginners - Introductory MCP course.
• OpenAI Chat Application with Microsoft Entra Authentication - Authenticated chat starter with Microsoft Entra ID.
• RAG for Azure Data - Retrieval Augmented Generation (RAG) for Azure Data.
• Setting up Azure OpenAI with Azure API Management - Azure AI to your application developers in a secure & manageable way with Azure API Management.
• Smart Load Balancing for Azure OpenAI - Intelligent routing across multiple Azure OpenAI deployments.
• Azure OpenAI cookbook - The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.
• Microsoft.Extensions.AI - Unified C# abstractions for models, embeddings, and middleware.
• Microsoft.Extensions.AI - Unified C# abstractions for models, embeddings, and middleware.

Copilot Development

• AI Samples for .NET - Official .NET AI samples (evaluation, integration).
• AI-in-a-Box - AI-in-a-Box aims to provide an "Azure AI/ML Easy Button" for common scenarios.
• azure-llm-fine-tuning - SLM/LLM Fine-tuning on Azure.
• Azure Accelerator Repos - Collection of official Azure accelerators.
• Azure-Cognitive-Search-Azure-OpenAI-Accelerator - Azure Cognitive Search + Azure OpenAI Accelerator.
• Azure Functions OpenAI Extension - OpenAI bindings for Azure Functions (C#).
• Azure Multimodal AI + LLM Processing Accelerator - Build multimodal data processing pipelines with Azure AI Services + LLMs.
• Azure OpenAI Network Latency Test Script - Azure OpenAI Network Latency Test Script.
• Azure-Samples - Azure-Samples.
• Azure-samples: Accelerator Collection - Accelerator Collection.
• Conversational-Azure-OpenAI-Accelerator - Conversational AI solution accelerator using Azure OpenAI.
• Azure OpenAI RAG workshop - RAG using LangChain.js and OpenAI. Hosted on Azure Static Web Apps and Azure Container Apps, with Azure AI Search as the vector database.
• Azure OpenAI workshop - Workshop materials to build intelligent solutions on Open AI.
• Azure OpenAI samples - Azure OpenAI samples.
• Azure OpenAI with AKS by Terraform (simple version) - Azure OpenAI with AKS by Terraform (simple version).
• Azure SQL DB + AOAI - AI applications built on data from an Azure SQL Database.
• Azure-Samples - Azure-Samples.
• Azure-Samples Accelerators - Community sample accelerators.
• Enterprise Logging - Enterprise Logging.
• Document Processing with Azure AI Samples - Document Intelligence plus generative enrichment examples.
• Evaluating a RAG Chat App - Tools for evaluation of RAG Chat Apps using Azure AI Evaluate SDK.
• Fabric notebooks for analyzing chat history stored in CosmosDB - Fabric notebooks for analyzing chat history.
• GPT-RAG - Enterprise RAG solution accelerator.
• Microsoft AI Tour - A session and workshop how to best leverage AI.
• Microsoft Copilot Studio Samples - Samples and artifacts for Microsoft Copilot Studio.
• MSUS Azure Accelerators - Partner accelerator implementations.
• Model Context Protocol Curriculum for Beginners - Introductory MCP course.
• OpenAI Chat Application with Microsoft Entra Authentication - Authenticated chat starter with Microsoft Entra ID.
• RAG for Azure Data - Retrieval Augmented Generation (RAG) for Azure Data.
• Setting up Azure OpenAI with Azure API Management
• Smart Load Balancing for Azure OpenAI - Intelligent routing across multiple Azure OpenAI deployments.
• Azure OpenAI cookbook - The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

Copilot Products

• Copilot Pages - Persistent collaborative canvas in Copilot chat.
• Copilot Pro - Premium Copilot features, model priority, and M365 integration.
• Copilot Scenario Library - Examples of Copilot business use cases.
• Copilot Vision - Edge experience for browsing with on-page visual grounding.
• Copilot in Windows - System-level AI integration in Windows.
• Copilot in Azure Quantum - Quantum workload guidance with Copilot integration.
• Copilot in Windows - System-level AI integration in Windows.
• Fabric Copilot - Copilot features for Fabric.
• Copilot+ PC - Windows PCs with integrated NPUs for AI workloads.
• Dynamics 365 Copilot - Embedded generative assistance across Dynamics workloads.
• Fabric Copilot - Copilot features for Fabric.
• Microsoft Copilot - Web-based AI assistant (formerly Bing Chat Enterprise).
• Nuance DAX Copilot - Clinical documentation automation.
• Power Apps AI Copilot - Power Apps AI Copilot.
• Power Automate Copilot - Power Automate cloud flows.
• PowerBI Copilot - Copilot features Power BI.
• Process Mining ingestion - Power Automate Process Mining ingestion.
• Team Copilot - Meeting, collaboration, and project facilitation.
• Viva Copilot - Employee experience and engagement assistance.
• Windows AI Foundry - Platform for local and hybrid AI app development (evolved from Windows Copilot Runtime).
• Windows Copilot Runtime - The set of APIs powered by the 40+ on-device models.

Agents

• AI Agents for Beginners - A Course - Ten-lesson introduction to building AI agents.
• Agent builder & Plan designer in Power Apps - Design and configure intelligent solutions in Power Apps.
• Agents in Power Platform - Redefine development with AI-first innovation.
• Combine Copilot Agents with Office Add-ins - Enhance Copilot with Office add-in actions for natural language interaction with Office documents.
• Introducing Copilot Actions, new agents, Copilot Control System - New agent capabilities and management tools for IT teams.
• Microsoft 365 Agents SDK - The evolution of the Bot Framework.
• Microsoft Discovery - Graph-based scientific co-reasoning. Specialized discovery agents for conducting research.
• SharePoint Agent - Turn SharePoint sites and documents into interactive agents.
• Microsoft Entra Agent ID - Central registration and governance for organizational AI agents.
• SharePoint Agent - Turn SharePoint sites and documents into interactive agents.

Copilot Development

• Azure AI Agent Service - Managed agent service in Azure AI Foundry.
• Azure AI Foundry - Portal and SDK for building generative AI solutions.
• Azure AI Agent Service - Managed agent service in Azure AI Foundry.
• Azure AI Foundry - Portal and SDK for building generative AI solutions.
• Community contributed samples for the Microsoft 365 Copilot - Community samples for Microsoft 365 Copilot.
• Copilot Studio March 2025 Update - Added autonomous agents, deep reasoning, and MCP integration.
• Copilot System Overview (video) - Architecture explanation video.
• Copilot Tuning - Low-code model tuning and grounded agent creation.
• Microsoft Copilot Studio - Customization and orchestration environment (formerly Power Virtual Agents).

Copilot Development

• Azure AI Search Blog - Official Blog.
• Azure AI Search Blog - Official Blog.
• Azure AI Search: Outperforming vector search with hybrid retrieval and reranking - Vector search with hybrid retrieval and reranking.
• Azure AI Search Samples - Official Sample Codes.
• Azure AI Search Documentation - Official Documentation.
• Azure AI Search Multimodal Sample - Demonstrates multimodal ingestion and retrieval patterns.
• Azure AI Search Power Skills - Custom skills for Azure AI Search.
• Azure AI Search Python Playground - A collection of Jupyter notebooks designed to explore the various capabilities of Azure AI Search.
• Azure AI Search: Outperforming vector search with hybrid retrieval and reranking - Vector search with hybrid retrieval and reranking.
• Document-level access control - Document-level access helps restrict content visibility to authorized users, based on predefined access rules.
• Python samples for Azure AI Search - Python samples for Azure AI Search.
• RAG-Knowledge - Sample code for Data Preprocessing, Chunking, Index Design, Query Optimization.
• Relevance scoring in hybrid search using Reciprocal Rank Fusion (RRF) - Reciprocal Rank Fusion (RRF).
• REST examples for Azure AI Search - REST sample requests for search features.
• Vector Search Sample Code - Vector Search Sample Code.

• Agentic retrieval in Azure AI Search - An automated query engine that creates and runs its own retrieval plan for relevant results to complex questions.
• Azure AI Search Documentation - Official product documentation and tutorials for Azure AI Search.
• Azure AI Search Multimodal Sample - Demonstrates multimodal ingestion and retrieval patterns.
• Azure AI Search Power Skills - Custom skills for Azure AI Search.
• Azure AI Search Python Playground - A collection of Jupyter notebooks designed to explore the various capabilities of Azure AI Search.
• Azure AI Search Samples - Official sample code for Azure AI Search.
• Document-level access control - Document-level access helps restrict content visibility to authorized users, based on predefined access rules.
• Python samples for Azure AI Search - Python samples for Azure AI Search.
• RAG-Knowledge - Sample code for Data Preprocessing, Chunking, Index Design, Query Optimization.
• Relevance scoring in hybrid search using Reciprocal Rank Fusion (RRF) - Reciprocal Rank Fusion (RRF).
• REST examples for Azure AI Search - REST sample requests for search features.
• Vector Search Sample Code - Sample code demonstrating Azure AI Search vector capabilities.
• Azure AI Search: Outperforming vector search with hybrid retrieval and reranking - Vector search with hybrid retrieval and reranking.
• Agentic retrieval in Azure AI Search - An automated query engine that creates and runs its own retrieval plan for relevant results to complex questions.

Copilot Development

• Azure AI Content Understanding - Azure AI Content Understanding: Transforming Multimodal Data into Insights.
• Assistants API - Code Interpreter, Function calling, Knowledge retrieval tool, and Threads.
• Azure AI Foundry Agent Service - Azure AI Foundry Agent Service.
• Azure AI Foundry Fine Tuning - Azure AI Foundry Fine Tuning.
• Azure AI Foundry SDK - Unified SDK with pre-built app templates.
• Introducing Deep Research in Azure AI Foundry Agent Service - Deep Research capabilities in Azure AI Foundry Agent Service.
• Artificial Intelligence Architecture Design - Overview of Azure AI services and solution patterns.
• Assistants API - Code Interpreter, Function calling, Knowledge retrieval tool, and Threads.
• Azure AI Content Understanding - Azure AI Content Understanding: Transforming Multimodal Data into Insights.
• Azure AI Foundry - Azure AI Foundry portal (formerly Azure AI Studio).
• Azure AI Foundry Agent Service - Azure AI Foundry Agent Service.
• Azure AI Foundry Fine Tuning - Azure AI Foundry Fine Tuning.
• Azure AI Foundry SDK - Unified SDK with pre-built app templates.
• Introducing Deep Research in Azure AI Foundry Agent Service - Deep Research capabilities in Azure AI Foundry Agent Service.
• Responses API - Responses API in Azure AI Foundry.
• Weights & Biases with Azure - Weights & Biases with Azure.
• Weights & Biases with Azure - Weights & Biases with Azure.

• Azure AI Foundry - Azure AI Foundry portal (formerly Azure AI Studio).
• Artificial Intelligence Architecture Design - Overview of Azure AI services and solution patterns.
• Responses API - Chat Completions API with the advanced tool-calling capabilities.
• Assistants API - Code Interpreter, Function calling, Knowledge retrieval tool, and Threads.
• Azure AI Content Understanding - Azure AI Content Understanding: Transforming Multimodal Data into Insights.
• Azure AI Foundry Agent Service - Azure AI Foundry Agent Service to create enterprise-grade, multi-agent systems.

Copilot Development

• Azure AI Foundry Labs - Research driven tools and experimental projects.
• Data Formulator - AI-powered Concept-driven Visualization Authoring.
• Data Formulator 2 - Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way.
• AutoGen Studio - A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.
• GraphRAG (by Microsoft) - RAG with a graph-based approach to efficiently answer both specific and broad questions over large text corpora1.
• AutoGen Studio - A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.
• Azure AI Foundry Labs - Research driven tools and experimental projects.
• Data Formulator - AI-powered Concept-driven Visualization Authoring.
• Data Formulator 2 - Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way.
• Data Science Toolkit - 🏆Data Science Toolkit.
• GraphRAG (by Microsoft) - RAG with a graph-based approach to efficiently answer both specific and broad questions over large text corpora1.
• Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion - K-LaMP. Contextual memory layer for LLM application.
• Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion - K-LaMP. Contextual memory layer for LLM application.
• Magentic-One - A Generalist Multi-Agent System for Solving Complex Tasks.
• Magentic-UI - Magentic-UI, built on Magentic-One, can browse the web, run Python and shell code, and process files.
• Microsoft AI Diagnostic Orchestrator (MAI-DxO) - Multi-Agent System. Accurately diagnoses up to 85% of NEJM case proceedings, which is over four times the rate achieved by a group of experienced physicians.
• MarS - A Financial Market Simulation Engine Powered by Generative Foundation Model - Financial market simulation using generative AI.
• MatterGen - Generative model for inorganic materials design.
• Microsoft AI Diagnostic Orchestrator (MAI-DxO) - Multi-Agent System. Accurately diagnoses up to 85% of NEJM case proceedings, which is over four times the rate achieved by a group of experienced physicians.
• Microsoft Office Copilot: Natural Language Commanding via Program Synthesis - Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute user intent across application features.
• Microsoft Office Copilot: Natural Language Commanding via Program Synthesis - Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute user intent across application features.
• NL2KQL - From Natural Language to Kusto Query.
• Optimizing Model Selection for Compound AI Systems - A framework that automatically optimizes model selection for compound AI systems.
• R&D-Agent-Quant - R&D-Agent for Quantitative Finance, in short RD-Agent(Q), the first data-centric multi-agent framework designed to automate the full-stack research and development of quantitative strategies via coordinated factor-model co-optimization.
• NL2KQL - From Natural Language to Kusto Query.
• Optimizing Model Selection for Compound AI Systems - A framework that automatically optimizes model selection for compound AI systems.
• R&D-Agent-Quant - R&D-Agent for Quantitative Finance, in short RD-Agent(Q), the first data-centric multi-agent framework designed to automate the full-stack research and development of quantitative strategies via coordinated factor-model co-optimization.
• SpreadsheetLLM - Introduces an efficient method to encode Excel sheets, outperforming previous approaches with 25 times fewer tokens.
• SpreadsheetLLM - Introduces an efficient method to encode Excel sheets, outperforming previous approaches with 25 times fewer tokens.
• Azure AI Foundry Labs - Research driven tools and experimental projects.

• Data Science Toolkit - Open-source collection of proven ML and AI implementation accelerators.
• Magentic-One - A Generalist Multi-Agent System for Solving Complex Tasks.
• Magentic-UI - Magentic-UI, built on Magentic-One, can browse the web, run Python and shell code, and process files.
• MarS - A Financial Market Simulation Engine Powered by Generative Foundation Model - Financial market simulation using generative AI.
• MatterGen - Generative model for inorganic materials design.
• PromptWizard - The prompt optimization through feedback-driven self-evolving prompts.
• AutoGen Studio - A No-Code Developer Tool for Building and Debugging Multi-Agent Systems.
• Data Formulator - AI-powered Concept-driven Visualization Authoring.
• Data Formulator 2 - Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way.
• GraphRAG (by Microsoft) - RAG with a graph-based approach to efficiently answer both specific and broad questions over large text.
• Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion - K-LaMP. Contextual memory layer for LLM application.
• Microsoft AI Diagnostic Orchestrator (MAI-DxO) - Multi-Agent System. Accurately diagnoses up to 85% of NEJM case proceedings, which is over four times the rate achieved by a group of experienced physicians.
• Microsoft Office Copilot: Natural Language Commanding via Program Synthesis - Semantic Interpreter, a natural language-friendly AI system for productivity software such as Microsoft Office that leverages large language models (LLMs) to execute user intent across application features.
• NL2KQL - From Natural Language to Kusto Query.
• Optimizing Model Selection for Compound AI Systems - A framework that automatically optimizes model selection for compound AI systems.
• PromptWizard - The prompt optimization through feedback-driven self-evolving prompts.
• R&D-Agent-Quant - R&D-Agent for Quantitative Finance, in short RD-Agent(Q), the first data-centric multi-agent framework designed to automate the full-stack research and development of quantitative strategies via coordinated factor-model co-optimization.
• SpreadsheetLLM - Introduces an efficient method to encode Excel sheets, outperforming previous approaches with 25 times fewer tokens.

• Azure Cosmos DB + OpenAI ChatGPT - Integration sample with Cosmos DB and chat interface.
• AI Dev Gallery - Windows application featuring interactive samples powered by local AI models.
• An open-source template gallery - An open-source template gallery to get started with Azure.
• ARGUS - Hybrid approach with Azure Document Intelligence combined and GPT4-Vision to get better results without any pre-training.
• Azure AI CLI - Interactive command-line tool for AI.
• Azure OpenAI Embeddings QnA - Embeddings-powered Q&A sample.
• C# ChatGPT + Enterprise Data - C# reference app using Azure AI Search and Azure OpenAI.
• Chat with Your Data Accelerator - Accelerator for grounding chat on custom data sources.
• ChatGPT + Enterprise Data RAG (Retrieval-Augmented Generation) - Enterprise RAG sample integrating Azure OpenAI and Azure AI Search.
• ChatGPT Plugin Quickstart using Python and FastAPI - Sample plugin implementation using Python and FastAPI.
• GPT-Azure-Search-Engine - Integration of Azure Bot Service with LangChain.
• Miyagi - Integration demo spanning multiple LangChain libraries.
• Prompt Buddy - Share and upvote favorite AI prompts.
• Simple ChatGPT UI Application - Scalable web UI pattern for Azure OpenAI chat.
• Smart Components - Experimental, end-to-end AI features for .NET apps.
• VoiceRAG - Voice-enabled RAG using Azure AI Search and GPT-4o Realtime.
• eShopSupport - A reference .NET application using AI for a customer support ticketing system.
• eShopSupport - A reference .NET application using AI for a customer support ticketing system.

Copilot Development

• AI Dev Gallery - Windows application featuring interactive samples powered by local AI models.
• An open-source template gallery - AI template collection.
• ARGUS - Hybrid approach with Azure Document Intelligence combined and GPT4-Vision to get better results without any pre-training.
• Azure AI CLI - Interactive command-line tool for AI.
• Azure Cosmos DB + OpenAI ChatGPT - Integration sample with Cosmos DB and chat interface.
• Azure OpenAI Embeddings QnA - Embeddings-powered Q&A sample.
• C# ChatGPT + Enterprise Data - C# reference app using Azure AI Search and Azure OpenAI.
• Chat with Your Data Accelerator - Accelerator for grounding chat on custom data sources.
• ChatGPT + Enterprise Data RAG (Retrieval-Augmented Generation) - Enterprise RAG sample integrating Azure OpenAI and Azure AI Search.
• ChatGPT Plugin Quickstart using Python and FastAPI - Sample plugin implementation using Python and FastAPI.
• GPT-Azure-Search-Engine - Integration of Azure Bot Service with LangChain.
• Miyagi - Integration demo spanning multiple LangChain libraries.
• Prompt Buddy - Share and upvote favorite AI prompts.
• Simple ChatGPT UI Application - Scalable web UI pattern for Azure OpenAI chat.
• Smart Components - Experimental, end-to-end AI features for .NET apps.
• VoiceRAG - Voice-enabled RAG using Azure AI Search and GPT-4o Realtime.

• AI gateway capabilities in Azure API Management - Semantic Caching. Azure AI Content Safety. LLM policies (llm-token-limit, llm-emit-metric, llm-content-safety).
• AI decision tree - Selecting the most suitable tools and platforms for your generative and nongenerative AI use cases.
• Azure AI Services Landing Zone - Azure AI Landing Zone with Terraform.
• Baseline Agentic AI Systems Architecture - Baseline Agentic AI Systems Architecture to build multiple conversable agents system.
• Designing and developing a RAG solution - Designing and developing a RAG solution: RAG application flow, RAG data pipeline flow.
• How real-world businesses are transforming with AI - Collected over 200 examples of how organizations are leveraging Microsoft AI capabilities.
• How to develop AI Apps and Agents in Azure – A Visual Guide - A Visual map to help you decide which Azure AI service is best for your use case.
• Partner Resources: AI & ML Academy - Comprehensive learning resources for partners and developers.
• Responsible AI Transparency Report - Responsible AI Transparency Report.
• Safeguard and trustworthy generative AI applications - Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications.
• Azure AI Foundry Blog - Azure AI Foundry Blog for Azure AI news, events.
• An Introduction to LLMOps - Operationalizing and Managing Large Language Models using Azure ML.
• Optimize Azure OpenAI Applications with Semantic Caching - Semantic cache pattern for latency and cost reduction.
• Using Keyless Authentication with Azure OpenAI - Entra ID token-based access to Azure OpenAI.
• AI Agent-Driven Auto Insurance Claims RAG Pipeline - Agent-driven claims processing reference.
• AI Feed - Azure AI news, events, and discussions.
• Azure Command Companion - Azure CLI Command Generation to translate natural language into the appropriate Azure CLI commands.
• Azure OpenAI and Call Center Modernization - Azure OpenAI use case to improve its customer service and reduce the cost and time of handling customer calls.
• Azure OpenAI Landing Zone reference architecture - Azure OpenAI Landing Zone is a reference architecture that integrates a variety of services to create a seamless infrastructure for running OpenAI workloads.
• Integrate private access to your Azure Open AI Chatbot - Integrate private access to your Azure Open AI Chatbot.
• NL to SQL Architecture Alternative - LLM to dynamically generate SQL queries, execute those SQL queries.
• Retrieval Augmented Fine Tuning - RAFT: Combining the best parts of RAG and fine-tuning (SFT).
• Revolutionize your Enterprise Data with ChatGPT - Revolutionize your Enterprise Data with ChatGPT.
• Security Best Practices for GenAI Applications (OpenAI) in Azure - The best practices of security for GenAI applications in Azure.
• Azure AI Foundry Blog - Azure AI Foundry Blog for Azure AI news, events.

Copilot Development

• AI Feed - Azure AI news, events, and discussions.
• An Introduction to LLMOps - Operationalizing and Managing Large Language Models using Azure ML.
• AI decision tree - Selecting the most suitable tools and platforms for your generative and nongenerative AI use cases.
• AI Feed - Azure AI news, events, and discussions.
• AI gateway capabilities in Azure API Management - Semantic Caching. Azure AI Content Safety. LLM policies (llm-token-limit, llm-emit-metric, llm-content-safety).
• An Introduction to LLMOps - Operationalizing and Managing Large Language Models using Azure ML.
• Azure OpenAI Best Practices Insights from Customer Journeys - LLMLingua, Skeleton Of Thought.
• Azure AI Services Landing Zone - Azure AI Services Landing Zone.
• Azure OpenAI Best Practices Insights from Customer Journeys - LLMLingua, Skeleton Of Thought.
• Azure OpenAI chat baseline architecture - Designing your production enterprise chat applications.
• Azure OpenAI chat baseline architecture - Designing your production enterprise chat applications.
• Baseline Agentic AI Systems Architecture - Baseline Agentic AI Systems Architecture.
• Build language model pipelines with memory - Build language model pipelines with memory.
• Build language model pipelines with memory - Build language model pipelines with memory.
• Grounding LLMs - Retrieval-Augmented Generation (RAG).
• Designing and developing a RAG solution - Designing and developing a RAG solution.
• Grounding LLMs - Retrieval-Augmented Generation (RAG).
• How real-world businesses are transforming with AI - Collected over 200 examples of how organizations are leveraging Microsoft AI capabilities.
• How to develop AI Apps and Agents in Azure – A Visual Guide - A Visual map to help you decide which Azure AI service is best for your use case.
• Partner Resources: AI & ML Academy - Comprehensive learning resources for partners and developers.
• Retrieval Augmented Fine Tuning - RAFT: Combining the best parts of RAG and fine-tuning (SFT).
• Responsible AI Transparency Report - Responsible AI Transparency Report.
• Retrieval Augmented Fine Tuning - RAFT: Combining the best parts of RAG and fine-tuning (SFT).
• Revolutionize your Enterprise Data with ChatGPT - Revolutionize your Enterprise Data with ChatGPT.
• Revolutionize your Enterprise Data with ChatGPT - Revolutionize your Enterprise Data with ChatGPT.
• Safeguard and trustworthy generative AI applications - Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications.
• AI Platform Blog - AI Platform Blog.