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Python

A collection of 4 issues

From Talk to Takeoff: harnessing the PyData Berlin presentation as a catalyst for our larger content efforts.

A well-executed conference talk's beauty lies in its immediate impact and ability to fuel a larger momentum across content, education, and user adoption. Let's dive in to see how one talk about Reinforcement Learning with Human Feedback (RLHF) affected our efforts.

Enabling User Adoption for New Generative AI Templates through Education

At the heart of any new product development lies one critical component — the user. This reality was at the forefront of our minds as we updated Label Studio to the newest 1.8 release. These new features could be lost in the shuffle without our users' understanding and adoption.

From Zero to Hero: Creating Beginner-Friendly Content for Label Studio.

Due to the fever behind machine learning, there’s a rapidly expanding need for introductory content. My directive was to guide new users with a friendly helping hand, with the goal of further democratizing this intimidating process.

Using Machine Learning to predict Titanic Survival Rates.

The Question at hand. (and no, it's not "who made the mistake of skipping dessert?") Based on the following Titanic datasets (name, age, price of the ticket, etc.), predict who will survive and who will die.