Podcast
Questions and Answers
What is Stable LM?
What is Stable LM?
What is the name of the language model released by Stability AI?
What is the name of the language model released by Stability AI?
What is the current status of Stable LM?
What is the current status of Stable LM?
What is the current developmental stage of Stable LM?
What is the current developmental stage of Stable LM?
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What is the size of the largest Stable LM model currently available?
What is the size of the largest Stable LM model currently available?
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How many parameter models are currently available for Stable LM?
How many parameter models are currently available for Stable LM?
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What is Stable LM trained on?
What is Stable LM trained on?
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What is the size of the experimental dataset used to train Stable LM?
What is the size of the experimental dataset used to train Stable LM?
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What can Stable LM generate?
What can Stable LM generate?
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What can Stable LM generate?
What can Stable LM generate?
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What is the name of the non-profit research hub that Stability AI has experience with?
What is the name of the non-profit research hub that Stability AI has experience with?
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What is the mission of Stability AI?
What is the mission of Stability AI?
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What is the mission of Stability AI?
What is the mission of Stability AI?
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Where can users find information about Stable LM's different checkpoints?
Where can users find information about Stable LM's different checkpoints?
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How can Stable LM be powered?
How can Stable LM be powered?
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What is the name of the interface provided by Stability AI to test Stable LM?
What is the name of the interface provided by Stability AI to test Stable LM?
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How can users test Stable LM's output?
How can users test Stable LM's output?
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What is the recommended approach for users when experimenting with Stable LM?
What is the recommended approach for users when experimenting with Stable LM?
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What should users do with the results of Stable LM's output?
What should users do with the results of Stable LM's output?
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What technology can be used to accelerate Stable LM?
What technology can be used to accelerate Stable LM?
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Study Notes
- Stability AI has released its own large language model called Stable LM, which is completely free and open source, including commercially viable.
- The model is currently in Alpha and comes in a 3 billion and 7 billion parameter model, with larger models to follow.
- Stable LM is trained on a new experimental dataset built on the pile, three times larger with 1.5 trillion tokens of content.
- The model can generate text and code and will power a range of downstream applications.
- Stable LM builds on the company's experience in earlier language models with a non-profit research hub called Luther AI.
- The company's mission is to be transparent, accessible, and supportive.
- The GitHub page includes information about the different checkpoints, with the 3 billion and 7 billion parameter models available now.
- The model can be powered via GPU using Nvidia SMI and accelerated with Bits and Bytes Transformers.
- The model can be tested with a prompt, such as a poem or Python code, using an interface provided by the company.
- The results of the model's output may vary, and users are encouraged to experiment and share their results.
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Description
How much do you know about Stability AI's Stable LM? Test your knowledge on this new open source language model that can generate text and code. Learn about its experimental dataset, parameter models, downstream applications, and more. See if you can answer questions about the model's capabilities and how it can be tested. Share your results and see how others fared in this quiz on the latest advancements in language modeling.