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Closing the AI Production Gap With Encord Active

Blog post from Encord

Post Details
Company
Date Published
Author
Eric Landau
Word Count
2,296
Company Posts That Month
9
Language
English
Hacker News Points
-
Post removed?
No
Summary

Paul Graham's tweet about Maclean's magazine cover highlighting the "future of the internet" has sparked a discussion on what technology will be used by billions in the future, with AI being a strong contender. Encord believes that AI is at a similar inflection point as the internet was in the 90s and is poised for widespread adoption. Recent advancements in generative AI have made this view more plausible. However, there is an "AI production gap" between proof-of-concept and production models due to issues with AI model robustness, reliability, explainability, caused by a lack of high-quality labels, model edge cases, and cumbersome iteration cycles for model re-training. Encord has released a free open-source active learning toolkit designed to help people building computer vision models improve their data, labels, and model performance.

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