How to Ground LLM's to minimize hallucinations

Presented by: Cameron Vetter

Language models have made significant advancements in recent years, with models like GPT-3 and GPT-4 showcasing impressive capabilities. However, one persistent challenge that arises with these models is the occurrence of hallucinations—instances where the model generates plausible-sounding but...

Tags: Python, Machine Learning, Data ScienceFormat: General SessionLevel: Intermediate

Exploring Cloud Native MLOps for GenAI Vector Search

Presented by: Mary Grygleski

ChatGPT has been in the center stage since early this year. We will first take a look into this exciting sub-new field of Generative AI, and understand what LLM and NLP are, and the challenges that all of these are presenting themselves. We will also highlight the importance of Vector Search, and...

Tags: DevOps, CI/CD, Machine LearningFormat: General SessionLevel: Introductory and overview

AI Speaks: Giving Large Language Models a Voice with Alexa

Presented by: Craig Walls

Large Language Models (LLM) have been quite the buzz lately, offering one of the first tangible applications of artificial intelligence for the masses. Despite quirks and "hallucinations", LLMs show real promise of being a valuable component in the future of thinking machines. ...

Tags: Javascript, IoT, Machine LearningFormat: General SessionLevel: Introductory and overview

Effective Observability for MLOps Pipelines at Scale

Presented by: Shivay Lamba

As the world embraces AI and adopts machine learning, many companies and moving towards using models like the LLMs. Deployment and monitoring such large models are extremely important. As traditional DevOps Engineers, you might not be exposed to working with machine learning systems. This is where...

Tags: Cloud, DevOps, Machine Learning, Data Science, ObservabilityFormat: General SessionLevel: Intermediate

GPT Embeddings - Not Magic, Just Math

Presented by: Barry Stahl

Embeddings may be the least understood yet most valuable tool to come out of the world of Large Language Models. In this presentation, we will unravel the mystery of embeddings, emphasizing their mathematical foundations and practical applications. ...

Tags: C#, Machine Learning, Data ScienceFormat: General SessionLevel: Intermediate

What Does Security Look Like When Building AI?

Presented by: Robert Herbig

Anyone who is working with AI or considering doing so should care about security. When considering building an AI-powered system or product, the traditional attack surfaces and mitigations still apply. However, new attack surfaces can be present depending on the specific AI approaches used. In...

Tags: Programming Principles, Security, Machine LearningFormat: General SessionLevel: Introductory and overview

AI for Highway Maintenance

Presented by: Jordan Thayer

Software touches every aspect of our lives, and no where is that clearer than in the automotive industry. With the recent surge to AI for self driving cars, we lose sight of adaptive cruise control, anti-lock breaks, and in-cab media centers that all require software to operate. ...

Tags: Programming Principles, Machine Learning, PerformanceFormat: General SessionLevel: Introductory and overview

Morality and AI: How do I use this power responsibly?

Presented by: Cameron Vetter

As artificial intelligence (AI) continues to advance, it becomes increasingly important to address the ethical implications and moral considerations surrounding its use. In this talk, we will explore the intersection of morality and AI, focusing on how individuals and organizations can wield this...

Tags: Machine Learning, Data ScienceFormat: General SessionLevel: Introductory and overview

You Are the Pilot: Getting Better with Code Gen AI Tools

Presented by: Sean Wedig

You might have asked yourself - "Self, what's all this hubub about AI tools for programmers? Am I going to lose my job?" and you might have answered, "I don't know, self. I haven't even really played with any AI code generation tools. There are so many tools, I wouldn't even know where to...

Tags: Velocity, Machine Learning, Code QualityFormat: General SessionLevel: Introductory and overview