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