Introduction to Project Miyagi
Project Miyagi exemplifies the capabilities of Microsoft's Copilot Stack through an envisioning workshop tailored for those interested in designing, developing, and launching intelligent enterprise-grade applications. This workshop provides an immersive experience for using AI to enhance productivity and personalizing customer experiences. It is particularly beneficial for traditional software developers as it introduces emerging techniques in prompt engineering and AI technology.
Workshop Overview
The Miyagi workshop acts as a tutorial for developing AI-infused applications by demonstrating various machine learning use cases, including generative models. Participants learn about modern design patterns such as chain-of-thought and retrieval-augmentation, and experiment with advanced techniques like vectorization for long-term AI memory, fine-tuning open-source models, agent-like orchestration, and utilizing plugins and tools that support large language models (LLMs).
Features and Implementations
This project offers a rich array of implementations and examples. Key features include:
- Semantic Kernel: Central to the Copilot Stack, fostering developments in generative AI and enhancing LLM operations.
- Promptflow: A tool for designing and managing AI prompts effectively.
- LangChain and LlamaIndex: Tools for building complex AI pipelines and chain-based logic workflows.
- Vector Stores: Services like Azure AI Search and CosmosDB provide robust solutions for AI memory tasks.
- Image Utilities: DreamFusion and ControlNet help in generating and managing AI-created images.
- Model Fine-Tuning: Leveraging AzureML to fine-tune models like Llama2 and Phi-2 for specialized applications.
Architectural Strength
Built upon a cloud-native, event-driven architecture (EDA), Miyagi ensures high availability, scalability, and maintainability, making it a viable solution for enterprise applications. It utilizes a polyglot codebase supported by multiple microservices, making it adaptable to a variety of use cases like personalized financial guidance and intelligent agent orchestration.
Interactive Tools
Project Miyagi supports innovative interaction with foundation models, illustrated by:
- A VSCode extension for the GitHub Copilot Agent, aiding code developers with real-time AI assistance.
- Miyagi ChatGPT Plugins for enhancing conversational AI capabilities.
- Demonstrations of AI's role in financial coaching using generative text and imagery.
Technology Stack
The project boasts a comprehensive tech stack, including but not limited to:
- Azure-based services like OpenAI, AI Search, AI Speech, and AzureML.
- Collaborative tools such as GitHub Actions and Azure Monitor.
- Support systems like Cosmos DB and Azure Functions.
Contribution and Community
Project Miyagi welcomes contributions from the community, adhering to the Microsoft Open Source Code of Conduct. Contributors need to agree with the Contributor License Agreement (CLA) to ensure proper licensing of their contributions.
Conclusion
Project Miyagi is an ongoing effort meant to inspire and equip developers with the skills to transform their applications into advanced, intelligent systems. Through its detailed and practical resources, participants are motivated to explore the full potential of AI innovations in their applications.
Embark on this insightful journey into AI application development with Project Miyagi and realize the art of the possible.