Welcome to the AI Architect Bootcamp! This repository is dedicated to providing code samples, lab exercises, instructions, and additional materials for 5-session bootcamp. Throughout the bootcamp, you'll gain hands-on experience with AI architecture concepts, build practical AI solutions, and learn key skills to design and deploy AI systems. The resources here will guide you through the essential tools and techniques used in the field, helping you to become proficient in AI architecture. Let's get started!
| Feature | ChatGPT | Summit AI Assistant (Custom RAG Chatbot) | Why This Matters for VA |
|---|---|---|---|
| Automated Information Retrieval (Key RAG Advantage) | ❌ Limited document upload size and quantity. Unable to automate retrieval across multiple docs or large datasets. Each answer may only come from a single document. | ✔ Fully automated information retrieval. Can sift through multiple large documents and return answers by dynamically selecting content from many documents. | VA requires automated document retrieval from large datasets to efficiently handle a wide array of documents, ensuring an accurate and quick response. |
| Handling Large Documents | ❌ File size: Limited to 500 MB; typically only allows up to 2-3 documents per upload. Bulk ingestion of large sets is not supported. | ✔ Supports large-scale document ingestion. Can manage bulk uploads, and documents of greater size (up to several GBs with Azure). | VA has large documents and data sets that require bulk ingestion. Azure enables scalable, efficient document management without file size limitations. |
| Response Traceability | ❌ Cannot track response origins across multiple documents. | ✔ Provides traceability to specific documents and sections, ensuring accountability and transparency for each response. | Traceability is crucial for VA as it allows auditing and accountability for sensitive information, ensuring responses are linked to the correct source. |
| Security and Compliance | ❌ Limited Security features for Government use, though labeled “Gov compliant.” Potential risk with privacy. | ✔ Built-in Azure Guardrails for enhanced security and compliance. Features such as Azure Active Directory (AAD) for role-based access control, multi-factor authentication, and encryption at rest ensure maximum protection and compliance with industry standards. | Government-specific compliance is vital. Azure ensures highest security standards,... |
| Customization | ❌ Limited customization of behavior. No access to the meta-prompt guiding the underlying chatbot. only user prompt is accessable | ✔ Fully customizable behavior via meta prompts, temperature, retrieval mode, and prompt engineering. Full access to the meta-prompt for precision in customization. | VA needs customizability to fine-tune responses, ensuring accuracy and precision based on unique requirements. It is the meta-prompt that controls responses for your application. User prompt doesn't do that. |
| Responsible & Ethical AI | ❌ Lacks explicit content filtering or safety content features for government use. | ✔ Azure's Responsible AI principles and Content Filtering tools built in, ensuring compliance with ethical standards for AI usage and output safety. | VA's need for responsible and ethical AI requires built-in content safety measures to ensure compliance and safety when interacting with public or sensitive data. VA's security impact assessment for any application requires these guradrails |
| Multimodal Support | ❌ Does not support the seamless integration of multimodal inputs like radiology images. | ✔ Azure AI supports multimodal capabilities like analyzing radiology images, making it ideal for industries requiring rich content analysis and secure handling of sensitive data. | VA needs multimodal support to handle diverse data types, such as radiology images, ensuring secure, accurate analysis for patient care. |
| Query Complexity | ❌ Not optimized for high-complexity queries requiring context from large, multiple documents. | ✔ Optimized for complex queries involving multiple documents, generating precise answers even from intricate datasets. | VA faces complex queries involving detailed information from various documents. Azure RAG architecture can effectively manage and resolve these complexities. |
| Data Freshness | ❌ Limited document upload size and number. Requires re-upload to refresh content. | ✔ Real-time data updates possible with continuous data feeds into Azure Storage and the integration of a custom RAG pipeline. No need for re-uploading. | Real-time data access is crucial for VA’s operations to ensure up-to-date information. Continuous data feeds make information more accessible and fresh, removing the need for re-uploading. |
| API Control & Cost Management | ❌ Limited access to API control, higher cost-per-use with additional costs for document uploads. | ✔ Full API control, including cost management options for scaling, managing usage, and optimizing costs, along with detailed logging and analytics. | VA needs cost-effective solutions with transparent API control, budget optimization, and the ability to manage usage at scale for long-term sustainability. |
| User Experience | ❌ User-friendly but limited interaction capabilities due to upload size restrictions. | ✔ Customizable user experience with flexibility in building tailored interfaces, offering a better experience for end-users. | VA requires a tailored user experience that can be customized to meet specific workflows and requirements. Azure’s flexibility in customization ensures a better fit for VA's needs. |