With the conversation around artificial intelligence shifting to weighty issues, such as return on investment and the cost of compute power, IBM Granite 3.0 models aim to boost ROI for businesses adopting AI by delivering efficiency, cost savings and safer AI usage, according to Sriram Raghavan (pictured), vice president of IBM Research AI at IBM Corp.
Since Granite 3.0 performs exceptionally well on tasks, such as retrieval-augmented generation, classification, summarization and entity extraction, these models enable companies to streamline their AI use cases and improve decision-making because they are purpose-built for business, Raghavan added.
“The ROI conversation usually comes down to … what’s the most efficient and effective way that I can get to the outcome?” he said. “How do you help me get my AI working in that hybrid environment? Now with Granite 3.0, we started really with sort of fit-for-purpose models for some of our applications and software. They let you do everything enterprises …