IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to tackle challenging enterprise use cases
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Summary
International Business Machines (IBM) has launched its reasoning model, Granite 3.2, which it says offers a conditional reasoning function to help improve complex decision-making processes and software engineering.
The AI system enables step-by-step chain of thought reasoning that can be conditionally activated with a flag, to allow users more control of processes that require more intensive processing.
Granite’s 3.2 vision model is specifically designed for digitising legacy documents, while its time series forecasting models use transformer technology to predict future values from time-based data.
David Cox, vice president for AI models at IBM Research, said the future of AI is in “real, practical tools using this very exciting technology, and building in enough of the features to enable all the real work”.