Stability AI launched its latest Open-source AI language model, called StableLM On Wednesday. With the release of this latest language model stability, AI expects to repeat the catalyzing impacts of the open source image synthesis model, Stable Diffusion, and create foundational AI technology available for everyone.
Along with improvement, StableLM power be used to create an open-source alternative to OpenAI’s chatbot ChatGPT
- Stability AI launched its new open-source model known as StableLM which is a rival of AI, OpenAI’s ChatGPT, and other ChatGPT alternatives.
- The StableLM model is the ability to perform multiple tasks such as generating codes, texts, and many more. Showcasing how small and efficient models can also be equally capable of providing high performance with proper training.
- StableLM is currently available for usage in an Alpha form on GitHub and Hugging Face.
StableLM an Open Source Alternative to ChatGPT
StableLM is an open-source alternative generated by Stability AI to perform various tasks such as generating content, answering queries, and more. Stability AI has placed itself as an open-source rival to OpenAI.
According to Stability’s blog post, their latest language model, StableLM, was trained on an experimental dataset that was developed on The Pile.
Apparently, it is 3X larger with around 1.5 trillion tokens of content. The richness of the dataset provides high performance of StableLM in coding and conversation tasks, regardless of its small size of 3 to 7 billion parameters.
It was stated by Stability in their blog, “Language models are the backbone of our digital economy. With our language model we want each and everyone to have an individual voice of their designs”. Open-source models like StablityLM showcases the commitment level to Artificial Intelligence technology which is transparent, supportive, and available.
Just like OpenAI’s latest large language model, GPT-4, StableLM is capable of generating texts and predicting the next token in a sequence.
The sequence initially begins when the users provide a prompt or query and StableLM predicts the next token based on that prompt. StableLM is capable of generating human-like texts and writing programs for users.
How to Test StableLM right now?
Presently, StableLM is available in Alpha form on GitHub and Hugging Face called “StableLM-Tuned-Alpha-7b Chat. The hugging face version performs like a ChatGPT, although it might be slower compared to other chatbots. Parameter model sizes from 3 billion to 7 billion are available with about 15 billion and 65 billion parameter models to follow.
Stability said, “Our StableLM models are capable of generating codes and texts and will power a variety of downstream applications.” Stability AI shows how little and efficient models can be equally capable of providing high performance with good training.
In an informal investigation with Stable m’S 7B model developed for discussion based on the Alpaca method, it was found the model was able to conduct better (when it comes to outputs) than Meta’s raw 7B parameter LLaMA model, yet, not at the level of OpenAI’s GPT-3.
Although the larger-parameter versions of StableLM might prove to be more flexible and capable of achieving various goals.
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