Stability AI has made a splash by releasing StableLM, their suite of open-source large language models (LLMs), now available for developers on GitHub. Similar to its competitor ChatGPT, StableLM efficiently generates text and code, but it's trained on a more extensive version of the widely used dataset, the Pile.
StableLM models currently range from 3 billion to 7 billion parameters, but there's more to come: 15 to 65 billion parameter models are expected to arrive later. This vast selection could open the door to new applications for AI-generated text and code in the tech industry.
According to Stability AI, their StableLM models outperform other state-of-the-art LLMs in several language generation benchmarks. The company also claims that their models are 10-200x faster to train and have a smaller computational footprint compared to other LLMs, making them more accessible to developers with limited resources.
Open-source LLMs like StableLM and ChatGPT have become increasingly popular in recent years as they enable developers to train their own language models without the need for proprietary software. This democratization of AI technology has led to a proliferation of AI applications in various industries, from chatbots to content generation to predictive text.
As more open-source LLMs become available, it's likely that we'll see even more innovation in the field of AI-generated text and code. Developers are also exploring ways to make LLMs more ethical and avoid the perpetuation of biases in AI-generated content.