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Noisy Student (L2)
About Noisy Student (L2)
Noisy Student (L2) is an AI model developed by Carnegie Mellon University (CMU), in the vision category, released in 2019, made available as a proprietary (API-only) model with 0.5B params.
On this page you'll find Noisy Student (L2)'s full specifications. Review provider pricing and benchmark scores below, or compare Noisy Student (L2) head-to-head with other vision models.
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Frequently asked questions
What is Noisy Student (L2)? ▶
Noisy Student (L2) is an AI model developed by Carnegie Mellon University (CMU), in the vision category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Noisy Student (L2)? ▶
Noisy Student (L2) was developed by Carnegie Mellon University (CMU) and released in 2019.
Is Noisy Student (L2) open source or proprietary? ▶
Noisy Student (L2) is a proprietary model. It is accessed through an API rather than by downloading the weights.
How much does Noisy Student (L2) cost? ▶
Pricing for Noisy Student (L2) depends on the provider. See the providers table on this page for the latest API rates.
How does Noisy Student (L2) perform on benchmarks? ▶
Benchmark scores for Noisy Student (L2) are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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