LLMs are everywhere, left, right, and center of any and all AI discourse these days. But we’ve got to be honest here, it’s hard to understand how they make decisions and explain and monitor them. So earlier this week, we released into beta Elemeta, our open-source library for exploring, monitoring, and extracting features from unstructured data.

May 16th, 2023 | 1:00 PM ET

Meet Elemeta: Metafeature extraction for unstructured data

In this talk, we will introduce Elemeta, our OSS meta-feature extractor library in Python, which applies a structured approach to unstructured data by extracting information from text and images to create enriched tabular representations. With Elemeta, practitioners can utilize structured ML monitoring techniques in addition to the typical latent embedding visualizations and engineer alternative features to be utilized in simpler models such as decision trees.

May 9th, 2023 | 2:40 PM

Introducing Elemeta: OSS meta-feature extractor for NLP & vision

We’ll be back in Boston May 9th – 11th for ODSC East. So if you want to meet up and chat with us about model observability, drop us a note or swing by booth #35 to pick up your swag and say hi + we have discounted tickets to give out

May 9th -11th, 2023 | Boston

ODSC East 2023