StabilityAI, the organization behind Stable Diffusion, is now taking on ChatGPT with a new open-source language model suite called StableLM.
By comparison, GPT-4 has a parameter count estimated at one trillion, six times higher than its predecessor GPT-3.
The parameter count may not be an even measure of LLM efficacy, however, as Stability AI noted in its blog“StableLM is trained on a new experimental dataset built on The Pile, but three times larger with 1.5 trillion tokens of content […] The richness of this dataset gives StableLM surprisingly high performance in conversational and coding tasks, despite its small size of 3 to 7 billion parameters.
It’s unclear at this time exactly how robust the StableLM models are. The StabilityAI team noted on the organization's Github page that more information about the LMs capabilities would be forthcoming, including model specifications and training settings.Provided the models perform well enough in testing, the arrival of a powerful open-source alternative to OpenAI’s ChatGPT could prove interesting for the cryptocurrency trading world.
The addition of open-source models into the mix could be a boon for tech-savvy traders who don’t want to pay OpenAI’s access
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