With its just-released Granite foundation models, IBM takes a big step towards addressing enterprise requirements for generative AI.
Let's look at what IBM announced.on the models), are designed to meet the stringent demands of enterprise applications. The new models are built to support various business-domain tasks, such as summarization, question-answering, classification, and more.
The data clearance process ensures careful consideration of datasets for inclusion in IBM's curated pre-training dataset, covering aspects like data description, intended use, licensing, usage restrictions, and more. Additionally, IBM plans to host StarCoder, a large language model for code, covering numerous programming languages, Git commits, GitHub issues, and Jupyter notebooks.
In its initial release, the Tuning Studio will focus on prompt tuning. This will allow organizations to fine-tune existing foundation models to their unique data, even with limited data available . IBM’s watsonx, now including the Granite foundation models and the additional tools, presents exciting possibilities for AI applications in the business world. It empowers organizations to personalize AI to their values and regulatory requirements.
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