SR
Salesforce Research
Language model · United States ·Aug 2017

AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)

Language Proprietary
33M
Parameters

About AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)

AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) is an AI model developed by Salesforce Research, in the language category, released in 2017, made available as a proprietary (API-only) model with 0B params.

On this page you'll find AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)'s full specifications. Review provider pricing and benchmark scores below, or compare AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) head-to-head with other language models.

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Frequently asked questions

What is AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)? ▶

AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) is an AI model developed by Salesforce Research, in the language category, released in 2017. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)? ▶

AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) was developed by Salesforce Research and released in 2017.

Is AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) open source or proprietary? ▶

AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) cost? ▶

Pricing for AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) depends on the provider. See the providers table on this page for the latest API rates.

How does AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2) perform on benchmarks? ▶

Benchmark scores for AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (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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