UO
University of Manchester
Language model · United Kingdom ·May 2018

aLSTM(depth-2)+RecurrentPolicy (WT2)

Language Proprietary
32M
Parameters

About aLSTM(depth-2)+RecurrentPolicy (WT2)

aLSTM(depth-2)+RecurrentPolicy (WT2) is an AI model developed by University of Manchester, in the language category, released in 2018, made available as a proprietary (API-only) model with 0B params.

On this page you'll find aLSTM(depth-2)+RecurrentPolicy (WT2)'s full specifications. Review provider pricing and benchmark scores below, or compare aLSTM(depth-2)+RecurrentPolicy (WT2) head-to-head with other language models.

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Frequently asked questions

What is aLSTM(depth-2)+RecurrentPolicy (WT2)? ▶

aLSTM(depth-2)+RecurrentPolicy (WT2) is an AI model developed by University of Manchester, in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created aLSTM(depth-2)+RecurrentPolicy (WT2)? ▶

aLSTM(depth-2)+RecurrentPolicy (WT2) was developed by University of Manchester and released in 2018.

Is aLSTM(depth-2)+RecurrentPolicy (WT2) open source or proprietary? ▶

aLSTM(depth-2)+RecurrentPolicy (WT2) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does aLSTM(depth-2)+RecurrentPolicy (WT2) cost? ▶

Pricing for aLSTM(depth-2)+RecurrentPolicy (WT2) depends on the provider. See the providers table on this page for the latest API rates.

How does aLSTM(depth-2)+RecurrentPolicy (WT2) perform on benchmarks? ▶

Benchmark scores for aLSTM(depth-2)+RecurrentPolicy (WT2) 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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