- Awesome Python - a comprehensive and curatted fantastic Python frameworks by Vinta Chen
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- Build mobile and desktop apps with .NET MAUI
- Google Research Blog
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- Intelligent App Workshop for Microsoft Copilot Stack
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- ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs
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- ChatGPT, Generative AI and GPT-3 Apps and use cases.
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- Azure OpenAI Private Endpoints: Connecting Across VNET’s
- Microsoft Learn AI Fundamentals
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- Meta AI Research
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- 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
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- 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
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- OpenAI ChatGPT & GPT-3 API pricing calculator
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- 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
- 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.
Core Criteria
Complexity Management
Cost Efficiency
Customization Flexibility
Integration Capability
Interoperability
Legacy Modernization
Scalability
Cloud Vendor Lock-In
Deployment Control
Rapid Prototyping
Feature Extensibility
UI Visual Development
Workflow Automation
Security Features
Time-to-Market
Extended Criteria
Ecosystem Compatibility
hpaPaaS Vendor Neutrality
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
Code Performance
Generated Code Customizability
AI-Assisted Debugging
Code Generation Accuracy
Code Efficiency
Code Readability
Error Rate in Generated Code
Code Security