UO
University of Washington
Language model · United States ·Nov 2019

Adaptive LSTM + DeFINE

Language Proprietary
48.7M
Parameters

About Adaptive LSTM + DeFINE

Adaptive LSTM + DeFINE is an AI model developed by University of Washington, in the language category, released in 2019, made available as a proprietary (API-only) model with 0B params.

On this page you'll find Adaptive LSTM + DeFINE's full specifications. Review provider pricing and benchmark scores below, or compare Adaptive LSTM + DeFINE head-to-head with other language models.

Links

Community

Would you run Adaptive LSTM + DeFINE again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like Adaptive LSTM + DeFINE

Frequently asked questions

What is Adaptive LSTM + DeFINE?

Adaptive LSTM + DeFINE is an AI model developed by University of Washington, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Adaptive LSTM + DeFINE?

Adaptive LSTM + DeFINE was developed by University of Washington and released in 2019.

Is Adaptive LSTM + DeFINE open source or proprietary?

Adaptive LSTM + DeFINE is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Adaptive LSTM + DeFINE cost?

Pricing for Adaptive LSTM + DeFINE depends on the provider. See the providers table on this page for the latest API rates.

How does Adaptive LSTM + DeFINE perform on benchmarks?

Benchmark scores for Adaptive LSTM + DeFINE are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about Adaptive LSTM + DeFINE?