Large Language Model Evaluations - What and Why
This talk will go into the intricacies of assessing the quality of LLMs and best practices to ensure their reliability and accuracy.
Videos
Reducing NLP Inference costs through model specialisation
This talk will discuss ways to reduce costs for NLP inference through a better choice of model, hardware, and model compression techniques.
Unlocking Data Value with Large Language Models
This talk will discuss how businesses can leverage FMs using Prompt Engineering and build Generative AI applications in the cloud.
Why you should move to a Lakehouse
Learn about the Databricks Lakehouse Platform, unifying data lakes and warehouses for reliable, governed, and flexible data solutions.
Evaluating XGBoost for balanced and Imbalanced datasets
The talk will introduce XGBoost, and provide examples of evaluation metrics for ML models in fraud and risk-scoring applications.
Introduction to Graph Neural Networks
In this talk, you will learn the theory behind GNNs, and look closely at the types of problems for which GNNs are well suited.
Making AI Easy with YOLOv8
You will learn about Ultralytics YOLOv8, how it works, how it compares to previous YOLO models and more.
