Generate Synthetic Datasets Easily with Parallel Domain’s API for Generative AI

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San Francisco-based startup Parallel Domain has launched an API aimed at putting the ability to create synthetic datasets into the hands of its customers. The Data Lab API uses generative artificial intelligence (AI) to enable machine learning (ML) engineers to style and layer random scenarios as objects, utilising 3D simulation to create domestic and non-domestic situations. By downloading the API from GitHub and writing Python code, ML engineers can generate datasets to train autonomous systems more easily. Previously, such tasks could take Parallel Domain weeks or months, but the self-serve API enables customers to create datasets in near real time.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Parallel Domain?

Parallel Domain is a San Francisco-based startup that has launched an API aimed at creating synthetic datasets for generative AI.

What is the Data Lab API?

The Data Lab API is an API developed by Parallel Domain that uses generative AI to enable machine learning engineers to style and layer random scenarios as objects, utilising 3D simulation to create domestic and non-domestic situations.

How does the Data Lab API work?

The Data Lab API works by allowing individuals to download the API from GitHub and writing Python code to generate datasets to train autonomous systems.

What is the benefit of using the Data Lab API?

The Data Lab API enables individuals to create datasets in near real-time, as compared to previously where it could take weeks or months.

Who is the Data Lab API designed for?

The Data Lab API is designed for machine learning engineers.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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