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- Announcing the Preview of OpenAI Whisper in Azure OpenAI service and Azure AI Speech
- The AI Study Guide @ Azure AI Tech Community
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- How to Evaluate LLMs: A Complete Metric Framework - Microsoft Research
- Extended Reality (XR)
- Advancing Video Understanding with GPT-4V(ision)
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- A Pythonista’s Intro to Semantic Kernel
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- Exploring Generative AI @ martinfowler
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- Vint Cerf on 50 years of the Internet: 'We still have a lot of work to do.'
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- Microsoft Cloud Adoption Framework for Azure
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- AI Content Detector - writer.com
- Forrester study finds 346% ROI when modernizing service operations with Dynamics 365 Field Service
- How to build an enterprise LLM application: Lessons from GitHub Copilot
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- Azure OpenAI Architecture Patterns and implementation steps
- AWS Well-Architected
- Getting Started with Copilot for Power Platform: A Guide for Computer Science Students
- AI-102 Designing and Implementing a Microsoft Azure AI Solution @ Microsoft Learn
- Syntheseus - Navigating the labyrinth of synthesis planning
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- AutoGen: Enabling next-generation large language model applications
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- Revolutionizing Requirement Gathering: Azure DevOps Meets Azure OpenAI using Semantic kernel
- AI Fundamentals @ Microsoft Learn
- Jupyter Notebooks on Azure for Genomics Data Analysis
- Microsoft Fabric Readiness and Workshops
- .NET MAUI Workshop in a Box
- Understanding Deep Learning
- Awesome Python - a platform for hand-picked Python libraries on Data and Machine learning by Dylan Hogg
- Introducing Llama 2 on Azure
- A simple but effective data grid for Blazor
- Microsoft 365 Developer Program: September 2023 updates
- .NET MAUI on Linux with Visual Studio Code
- Mastering GitHub Copilot for AI Paired Programming
- Generative AI in Azure Machine Learning: Operationalizing app development for AI transformation
- Scalable Extraction of Training Data from (Production) Language Models
- Power Platform samples gallery
- Distilling Step-by-Step: Achieving Superior Performance with Smaller Language Models
- The year in Google Cloud: Top news of 2023
- Building AI products with a holistic mental model
- All things distributed
- Building a foundation for AI success: Business strategy
- Rapidly build an application in Gradio power by a Generative AI Agent
- The architecture of today’s LLM applications
- Introduction to Programming with Python, David J. Malan, Harvard University
- AI DETECTOR - content at scale
- Unlocking GPT-4 Summarization with Chain of Density Prompting
- What’s new in Data & AI: Expanding choices for generative AI app builders
- Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio
- Introducing Vision Models in Azure Machine Learning Model Catalog
- How generative AI fits into the entire software development lifecycle
- Learn how to assess risk of AI systems
- Google DeepMind
- Jan AI, Runs LLM offline and 100% open source, on Windows, Mac and Linux
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- 10 AI terms everyone should know By Susanna Ray
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- Azure Open AI (demos, documentation, accelerators).
- Microsoft Docs - Clean Architecture in Modern Web Applications
- Developer productivity: security, testing, coding, AI
- AutoGen: Getting Started for Multi-Agent Conversation, and Enhanced LLM Inference & Optimization
- Generative AI on AWS
- Vector Search & AI Assistant for Build and Modernize AI Apps
- ChatGPT: Everything you need to know about the AI-powered chatbot
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- GenAI Stack Walkthrough:Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
- NVIDIA- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- Microsoft Research Blog
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- Azure OpenAI Starter Kit for .NET Developers
- Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
- OpenAI Cookbook
- Awesome Python Data Science by Krzysztof Joachimiak
- Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities
- The Low-Code Market Could Approach $50 Billion By 2028
- LowCode 2024-5th International Workshop on Modeling in Low-Code Development Platforms
- Copilot Developer Camp
- Awesome Python - a comprehensive and curatted fantastic Python frameworks by Vinta Chen
- Blazor Hybrid for Beginners
- Build mobile and desktop apps with .NET MAUI
- Google Research Blog
- 29 no-cost ways to leap ahead in your cloud career
- Gemini API: Quickstart with Python
- THE FRUGAL ARCHITECT
- Microsoft Research - Orca small LMs
- Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents
- Empowerment with good governance: How our citizen developers get the most out of the Microsoft Power Platform
- Prompt flow - Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
- C# for Beginners
- Demystifying Retrieval Augmented Generation with .NET
- Build with Gemini
- Intelligent App Workshop for Microsoft Copilot Stack
- Develop Generative AI solutions with Azure OpenAI Service
- ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
- OpenAPI based HTTP Client code generator
- GPT-2 Output Detector
- ChatGPT, Generative AI and GPT-3 Apps and use cases.
- Getting Started: Clean Architecture in .NET - Dometrain
- A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.
- How we interact with information: The new era of search
- Azure OpenAI Private Endpoints: Connecting Across VNET’s
- Microsoft Learn AI Fundamentals
- Kernel Memory (KM) in C#, Python, and Java
- Meta AI Research
- Achieve limitless business benefits by skilling up on generative AI with Azure
- Artificial Intelligence for Beginners
- Step-by-Step: Creating Customized Applications with Power Virtual Agent to Empower Your Busines
- Cloud Adoption Framework
- How AI helped build a 100-million-user app behemoth
- How generative AI is transforming the customer service experience
- Graphitation - GraphQL tooling & runtime support needed for MS Teams and beyond
- Chat your data in Microsoft Fabric with Semantic Kernel
- Announcing the Preview of OpenAI Whisper in Azure OpenAI service and Azure AI Speech
- The AI Study Guide @ Azure AI Tech Community
- DeepSpeed is to enable deep learning scientists to train models
- How to Evaluate LLMs: A Complete Metric Framework - Microsoft Research
- Extended Reality (XR)
- Advancing Video Understanding with GPT-4V(ision)
- Instructed Counterfactual Biomedical Image Generation for Modeling Multimodal Patient Journeys
- ML commons
- AI transformation in action—how organizations are innovating today
- Mastering Azure OpenAI Services: A Comprehensive Learning Path for Aspiring AI Engineers
- Search the web for up-to-date OpenAI chat responses
- LinkedIn - Future of Skills
- Introducing new Microsoft Copilot capabilities to optimize Dynamics 365 Field Service operations
- 12 days of no-cost training to learn generative AI this December
- Build and Modernize AI Applications Hackathon
- A Pythonista’s Intro to Semantic Kernel
- Navigating Semantic Kernel: A Path to Agnostic AI Services
- 10 ways generative AI and Azure OpenAI Service are transforming businesses
- Langchain + Docker + Neo4j
- How to build GenAI powered Smart Knowledge Search platform for enterprises
- Exploring Generative AI @ martinfowler
- Drive digital transformation with low-code platforms
- Mastering LLMs: The Art of Grounding for Contextual Relevance
- The Microsoft Graph Python SDK introduced
- Segment Anything: Promptable Segmentation of Arbitrary Objects
- A collection of design pattern samples for building applications and services with Azure Cosmos DB for NoSQL.
- Azure AI Services Exercises @ Microsoft Learn
- Evaluate your plugins and planners with Prompt flow
- Microsoft Copilot Studio
- NVIDIA - Retrieval Augmented Generation- Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- Build AI apps with Azure Cosmos DB for MongoDB vCore vector search
- Introducing Semantic Kernel: Building AI-Based Apps
- Empowering Frontline Workers with Next-Generation AI in Microsoft Teams
- Generative AI on Google Cloud: New training content, from introductory to advanced
- Meet Gen AI Navigator: Your personalized guide to adopting generative AI
- Open Source LLM toolkit to build LLM applications. TigerRag (embedding, RAG), TigerTune (fine-tuning), TigerArmor (AI safety)
- Vint Cerf on 50 years of the Internet: 'We still have a lot of work to do.'
- Getting started with Semantic Kernel
- Mastering the Dance with AI: A Deep Dive into Microsoft's WorkLab!
- How to transform work with plugins for Microsoft 365 Copilot and AI apps
- Program your micro:bit V2 with MicroCode!
- Wolverine - Next Generation .NET Mediator and Message Bus
- LLaVA-Interactive Image Chat, Segmentation and Generation/Editing -- All-in-one demo
- Public preview for Microsoft Adaptive Card Previewer announced
- OpenAI ChatGPT & GPT-3 API pricing calculator
- Generative AI for Beginners
- Generative AI for Beginners
- Marten - .NET Transactional Document DB and Event Store on PostgreSQL
- Fine-Tuning OpenAI Models for Retrieval Augmented Generation (RAG) with Qdrant and Few-Shot Learning
- Building Real-Time, Intelligent AI Copilots with Confluent Cloud, Azure OpenAI & Azure Data Services
- OpenAI Pricing & Tokens Calculator
- Semantic Kernel
- Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models
- Introduction to Building AI Apps
- CLAP (Contrastive Language-Audio Pretraining) is a model that learns acoustic concepts from natural language supervision and enables “Zero-Shot” inference.
- A curated list of articles and tutorials to start with and understand generative AI by Youssef Hosni
- Azure Cognitive Search: Outperforming vector search with hybrid retrieval and ranking capabilities
- New Microsoft Copilot Studio implementation guide
- Cloud Native on Azure
- Eliminate digital drag: Move your organization into the modern work and generative AI fast lane
- Microsoft Fabric @ Learn
- Modeling quantum architecture with Azure Quantum Resource Estimator
- Physics of AGI: Understanding and improving emergent intelligence in large language models
- SQuAD2.0 The Stanford Question Answering Dataset by Pranav Rajpurkar
- Chat Copilot Performance improvements for chat and messaging loading
- The AI Alliance - News, A community of technology creators, developers and adopters collaborating to advance safe, responsible AI rooted in open innovation.
- OpenAI’s technology explained
- Microsoft Cloud Adoption Framework for Azure
- AWS Modernization Tools Now Support .NET 8
- GPTZero
- Automatic Generation of Visualizations and Infographics with LLMs
- AI Content Detector - writer.com
- Forrester study finds 346% ROI when modernizing service operations with Dynamics 365 Field Service
- How to build an enterprise LLM application: Lessons from GitHub Copilot
- Azure OpenAI @ Microsoft Learn
- Building immersive experiences with Microsoft Mesh
- Introducing a new Azure AI Language video series showcasing features powered by Azure OpenAI & more
- Azure AI Fundamentals Exercises
- Example prompts and code for the Google AI Gemini API and the Vertex AI Gemini API
- The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
- Semantic Kernel-Powered OpenAI Plugin Development Lifecycle
- Azure OpenAI Architecture Patterns and implementation steps
- AWS Well-Architected
- Getting Started with Copilot for Power Platform: A Guide for Computer Science Students
- AI-102 Designing and Implementing a Microsoft Azure AI Solution @ Microsoft Learn
- Syntheseus - Navigating the labyrinth of synthesis planning
- Tokenizer
- Understanding the Difference in Using Different Large Language Models: Step-by-Step Guide
- QUIC, a UDP-based, stream-multiplexing, encrypted transport protocol.
- AutoGen: Enabling next-generation large language model applications
- Introducing Amazon Q, a new generative AI-powered assistant (preview)
- Revolutionizing Requirement Gathering: Azure DevOps Meets Azure OpenAI using Semantic kernel
- AI Fundamentals @ Microsoft Learn
- Jupyter Notebooks on Azure for Genomics Data Analysis
- Microsoft Fabric Readiness and Workshops
- .NET MAUI Workshop in a Box
- Understanding Deep Learning
- Awesome Python - a platform for hand-picked Python libraries on Data and Machine learning by Dylan Hogg
- Introducing Llama 2 on Azure
- A simple but effective data grid for Blazor
- Microsoft 365 Developer Program: September 2023 updates
- .NET MAUI on Linux with Visual Studio Code
- Mastering GitHub Copilot for AI Paired Programming
- Generative AI in Azure Machine Learning: Operationalizing app development for AI transformation
- Scalable Extraction of Training Data from (Production) Language Models
- Power Platform samples gallery
- Distilling Step-by-Step: Achieving Superior Performance with Smaller Language Models
- The year in Google Cloud: Top news of 2023
- Building AI products with a holistic mental model
- All things distributed
- Building a foundation for AI success: Business strategy
- Rapidly build an application in Gradio power by a Generative AI Agent
- The architecture of today’s LLM applications
- Introduction to Programming with Python, David J. Malan, Harvard University
- AI DETECTOR - content at scale
- Unlocking GPT-4 Summarization with Chain of Density Prompting
- What’s new in Data & AI: Expanding choices for generative AI app builders
- Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio
- Introducing Vision Models in Azure Machine Learning Model Catalog
- How generative AI fits into the entire software development lifecycle
- Learn how to assess risk of AI systems
- Google DeepMind
- Jan AI, Runs LLM offline and 100% open source, on Windows, Mac and Linux
- What’s New in Microsoft Teams for Education | November 2023
- 10 AI terms everyone should know By Susanna Ray
- QcoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium.
- Azure AI services Blog
- Access Control in Generative AI applications with Azure Cognitive Search
- Iterative Self-Refinement with GPT-4V(ision)for Automatic Image Design and Generation
- Evaluating RAG pipelines with Ragas + LangSmith, Redefining QA Evaluations: The Power of Ragas and LangSmith Combined.
- Azure Open AI (demos, documentation, accelerators).
- Microsoft Docs - Clean Architecture in Modern Web Applications
- Developer productivity: security, testing, coding, AI
- AutoGen: Getting Started for Multi-Agent Conversation, and Enhanced LLM Inference & Optimization
- Generative AI on AWS
- Vector Search & AI Assistant for Build and Modernize AI Apps
- ChatGPT: Everything you need to know about the AI-powered chatbot
- Partnership on AI
- GenAI Stack Walkthrough:Behind the Scenes With Neo4j, LangChain, and Ollama in Docker
- NVIDIA- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- Microsoft Research Blog
- Intelligent app workshop
- Azure Static Web Apps CLI
- Azure Static Web Apps
- Using Delta Kusto in Azure DevOps
- Azure Static Web Apps @devto
- Azure OpenAI Starter Kit for .NET Developers
- Knowledge Bases now delivers fully managed RAG experience in Amazon Bedrock
- OpenAI Cookbook
- Awesome Python Data Science by Krzysztof Joachimiak
- Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities
- The Low-Code Market Could Approach $50 Billion By 2028
- LowCode 2024-5th International Workshop on Modeling in Low-Code Development Platforms
- Copilot Developer Camp
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Note: We are in the process of evaluating platforms based on our Core Criteria, Extended Criteria, and Code AI Criteria. The ratings for these categories will be published soon.
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Cost Efficiency
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Integration Capability
Interoperability
Legacy Modernization
Scalability
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Deployment Control
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Feature Extensibility
UI Visual Development
Workflow Automation
Security Features
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Extended Criteria
Ecosystem Compatibility
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Development Speed
No-code Database Support
Component Library Support
AI Performance and Usability
AI Customization and Ethics
Platform Support by Agencies or ISVs
Code AI Criteria
Code Quality
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Generated Code Customizability
AI-Assisted Debugging
Code Generation Accuracy
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Code Readability
Error Rate in Generated Code
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