Carey Payette
Trillium Innovations
Columbus, Ohio, United States
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Carey Payette is a Senior Software Engineer with Trillium Innovations (a Solliance partner), an ASPInsider, Progress Developer Expert, HashiCorp Ambassador, Microsoft Certified Trainer, and a Microsoft Azure MVP. Her primary focus is Cloud integration and deployment for the web, mobile, big data, AI, machine learning, and IoT spaces. Always eager to learn, you will find her tinkering regularly with various sensors, microcontrollers, programming languages, and frameworks.
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Practical Strategies for improving RAG system accuracy (Workshop)
This workshop arms attendees with practical strategies for improving the performance of Retrieval Augmented Generation (RAG) systems. We'll explore techniques for optimizing document processing, embedding generation, and knowledge search operations. Hands-on-labs cover various implementations using popular services and libraries.
Attendees should have global admin or owner permissions on an Azure subscription and have the ability to write and run both Python and C# code.
Tales from the trenches: Real-world experiences deploying large-scale AI solutions Workshop
This session shares experiences and strategies for building large-scale production-ready AI systems. We'll cover infrastructure deployment, security considerations for both infrastructure and sensitive data protection, and application design patterns that enable maintainable and observable systems.
System requirements for the hands-on lab includes the ability to create and run Python and C# code. The attendee should also be global admin or have Owner role on an Azure subscription.
Practical Strategies for improving RAG system accuracy
This session provides practical strategies for improving the performance of Retrieval Augmented Generation (RAG) systems. We'll explore techniques for optimizing document processing, embedding generation, and knowledge search operations. The session covers practical implementations using popular services and libraries.
Topics include:
- Advanced chunking strategies and document preprocessing techniques
- Vector store guidance
- Hybrid retrieval approaches combining semantic and keyword search
- Graph-based retrieval techniques
AI Without Fear: Secure Code Execution for LLMs in Azure Container Apps
In the rapidly evolving landscape of Artificial Intelligence, the ability to execute code securely in a performant way is paramount. This presentation introduces Azure Container Apps dynamic sessions as a robust solution for running code within an AI system. By leveraging isolated, sandboxed environments, the system can confidently execute potentially untrusted code, including user-provided scripts or code generated by Large Language Models (LLMs) while mitigating risks and ensuring the integrity of the system. This session will equip you with the knowledge to confidently integrate secure code execution into your AI solutions, minimizing vulnerabilities and maximizing trust.
Prompt Engineering 101 with Azure OpenAI
Learn basic prompt engineering techniques that help guide Azure OpenAI models to better performance for specific use cases, resulting in models that yield more accurate and relevant output. Learn common patterns and strategies to get the most out of your LLM.
Fine-tuning Azure OpenAI models
Learn what fine-tuning is and isn't in the context of Azure OpenAI. Evaluate alternatives to fine-tuning and the cases when fine-tuning is necessary. The session ends with a demonstration of how to create a training dataset, fine-tune an Azure OpenAI Chat GPT-3.5 model, and consume it.
Terraform in Azure Workshop
Infrastructure as Code (IaC) has become a critical part of DevOps, allowing for declarative definition, configuration, deployment, and management of simple and complex IT solutions. In this session, we’ll review the importance of IaC and how it fits into the Continuous Delivery aspect of DevOps. In addition, you will get hands-on with Terraform with labs and start deploying solutions to the Azure cloud!
Introduction to Azure Infrastructure as Code
Infrastructure as Code (IaC) has become a critical part of DevOps, allowing for declarative definition, configuration, deployment, and management of simple and complex IT solutions. In this session, we’ll review the importance of IaC and how it fits into the Continuous Delivery aspect of DevOps. In addition, you will get a taste of different IaC technologies, such as ARM, Bicep, Terraform, Ansible, and Pulumi, to manage your Azure resources.
Carey Payette
Trillium Innovations
Columbus, Ohio, United States
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