Data Labeling

Feyn Labs has released SQRL, a family of text-to-SQL models that inspect a database with read-only probes before committing to a query. The flagship SQRL-35B-A3B reports 70.6% execution accuracy on BIRD Dev, edging Claude Opus 4.6, and distills into self-hostable 4B and 9B checkpoints.

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker....

After human annotation is complete, a machine-learning model automatically examines the tagged pictures to generate the same annotations. Since the picture annotation defines the...

It has always been challenging to launch an annotation effort. A team of researchers introduce The Portable Text Annotation tool (Potato), a web-based application...

What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics,...

Labeled data is essential for training supervised machine learning models, but mistakes made by data annotators can impact the model's accuracy. It is common...