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

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

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

What's that smell? Monitoring air quality with Python, Raspberry Pi, and Redis

Presented by: Justin Castilla

With a little wiring and a few lines of code, one can create your own hyper-local air sensor system to send alerts, activate smart-windows, and gather data. A sensor measures air particulate density and sends the values to a Raspberry Pi compute unit. The Raspberry Pi then sends the data along with...

Tags: Python, IoT, Cloud, Data Science, DatabasesFormat: General SessionLevel: Intermediate