IBM has announced new generative AI models and capabilities across its recently launched Watsonx data science platform. The new models, called the Granite series models, are designed to help businesses scale AI by providing them with a more efficient and effective way to develop, deploy, and manage AI models.
The Granite series models are based on IBM’s own generative AI technology, which has been trained on a massive dataset of text and code. This allows the models to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
In addition to the new models, IBM also introduced Tuning Studio to allows users to tailor generative AI models to their specific data and requirements.
Also on the list is a synthetic data generator to generate synthetic data from real-world data, a self-service, chatbot-like tool that allows users to discover, augment, visualize, and refine data for AI, and Watsonx.governance, a toolkit that provides mechanisms to protect customer privacy, detect model bias and drift, and help organizations meet ethics standards.
The new generative AI models and capabilities in Watsonx are designed to help businesses accelerate their AI adoption and innovation.
The sources for this piece include an article in TechCrunch.