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AI · June 23, 2020

Aquarium

Improve ML models by improving datasets they’re trained on

Aquarium launched on June 23, 2020 with 103 votes, #385 of 4,317 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.

Visit aquariumlearning.com ↗Aquarium alternativestop 9% of June 2020

What it does

Machine learning models are only as good as the datasets they’re trained on, yet it’s extremely difficult to improve dataset quality. Aquarium uses deep learning to find problems in your model performance and edit your dataset to fix these problems.

We’re excited to be joining Notion to help make AI a ubiquitous and useful part of everyday life!

Aquarium’s mission has always been to accelerate the process of building and deploying production AI systems. Over the last five years, we’ve seen a massive leap in the capabilities of AI models, and we’ve been lucky to help a variety of AI teams across computer vision and natural language processing to improve the quality of their AI systems more quickly and easily than ever before. When we first met the Notion team, we realized that there was a massive opportunity to use generative AI to bring value to more than 100 million users. We saw a good fit between the two teams: Aquarium has built a lot of AI retrieval technology over the years, while Notion is working towards their vision of…from aquariumlearning.com

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