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Join us on January 29 for a chance to connect, learn, and get inspired by the latest and greatest in AI. Whether you're a pro at AI or just getting started, this event is all about building our community and shaping the future of AI development. Get ready for an evening packed with awesome sessions, discussions, and networking opportunities! Let's dive into the exciting world of AI together! Agenda
Program Sessions | Session Title | Session Description | Speaker | | :------------- |:-------------|:-------------| | Empowering Enterprises with LLM Agents: Assistants for Data-Driven Insights | Large Language Model (LLM) agents are emerging as powerful tools that can revolutionize how organizations interact with their data. This session will delve into the concept of LLM agents and their potential to transform internal operations by creating intelligent virtual assistants on top of your datawarehouse. We will explore how these agents can be leveraged to generate SQL query statements dynamically, enabling seamless access to data stored in various data warehouses such as Databricks, Microsoft Fabric. Attendees will gain insights into the architecture and implementation of these virtual assistants, and discover how they can enhance productivity, streamline decision-making processes, and unlock valuable insights from their data. | Sammy Deprez | | Simplifying AI in your .NET Application | Discover how to effortlessly integrate AI into your .NET applications with the Microsoft.Extensions.AI library. Learn to add chat features, embedding generation, and tool calling seamlessly. Plus, explore innovative techniques for real-time prompt management, allowing you to test and refine AI prompts live without stopping your application. Join us for a fast-paced session packed with practical insights and cutting-edge strategies to optimize your development workflow. | Maria Naggaga Nakanwagi | | AutoGen 0.4: A Programming Framework for Agentic AI reimagined | AutoGen is an open-source framework for building AI agent systems. It simplifies the creation of event-driven, distributed, scalable, and resilient agentic applications using multi-agent architectures. In this talk, Jack will provide an overview of the AutoGen framework and dig into 0.4, a reimagining of the framework. | Jack Gerrits | | AI in Action: Lessons and Success Stories | Join us for an engaging panel discussion featuring practitioners of artificial intelligence. Our panelists will share their firsthand experiences, challenges, and successes in implementing solutions across various industries. Learn about innovative use cases and discover best practices from experts who are at the forefront of AI technology.| Lisa Qu, Vivian Lei, Samir Mahmoud, Justin Trugman | |
Empire State of AI: An Evening with Microsoft, .NET, and the Global AI Community
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Guardians of the Promptiverse: Ensuring LLM Safety and Security
2024-09-23 · 19:45
Sammy Deprez
– AI Consultant
@ Advancing Analytics
Step into the world of promptiverse guardianship as we explore strategies to ensure the safety and security of your Large Language Model solutions. This talk is a fun and informative journey into defending against prompt hacking, covering techniques like prompt engineering and vigilant monitoring. Join us as we empower you to become a guardian of your LLM, safeguarding it against potential threats and ensuring its integrity in the ever-evolving digital landscape. |
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From Concept to Code Easily: Mastering GitHub Models for AI Projects
2024-09-23 · 19:00
Amy Boyd
– Principal Cloud Advocate
@ Microsoft
I want to introduce you to GitHub Models, an accessible and free tool for developers. We will begin by learning how to access GitHub Models and briefly exploring its intuitive playground. Next, we will delve into the exciting part - practical code samples, demonstrating their application both in GitHub CodeSpaces and on a local device. By the end of the session, you will understand the ease with which developers can test models within their AI projects, for free. |
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The Basics of Generative AI
2024-09-23 · 18:40
Discover the basics of generative AI, including core models, functionalities. Learn how to utilize these models to build your own generative AI applications. |
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