Inside the AI data factory: How to produce high-quality data at scale

Watch now

Featured Speakers:

Trusted by leading Fortune 500 enterprises and AI-fueled companies

Trusted by leading startups and Fortune 500 enterprises

IBRAHIM MUHAMMAD

Software Engineering - Labelbox

In the world of AI, data quality can make or break your models and apps. But how do you define and measure "good" data?

In this deep-dive webinar, Labelbox experts will share their scientific approach to analyzing data quality and producing high-quality, trustworthy training data. For the subjective world of GenAI where we rarely have ground truths, we’ll explore the importance of precision and accuracy metrics and discuss tricks to building efficient teams and workflows for tasks like RLHF and SFT. The team will share real-world examples and demonstrate data quality reports to give you actionable insights to improve your AI development.

You will learn how to:

Use real-time metrics for measuring data quality, including precision and accuracy
Implement strategies for optimizing operational efficiency while maintaining high data quality standards
Analyze and build an effective team for data rating, with insights on how to identify “star” labelers

Don't let poor data quality hold your models back – sign up today to learn how to create high-quality data at scale.

KRISH MANIAR

Labs - Labelbox

RAJ JAIN

Labs - Labelbox

Host & Moderator

MICHAEL HAAG

Product Marketing - Labelbox

Inside the AI data factory:

How to produce

high-quality data at scale