IBM has launched the Granite 3.2 model, which introduces improved reasoning capabilities through experimental chain-of-thought reasoning, outperforming its predecessor and larger models alike. The Granite 3.2 Instruct options add flexibility by allowing reasoning features to be toggled on or off based on specific tasks. IBM's inference scaling technique enhances this further by scoring multiple potential answers, thereby optimizing the reasoning process in real time. Additionally, the new vision language model (VLM) focuses on advanced document understanding, showcasing significant advancements in reasoning benchmarks.
IBM has introduced Granite 3.2, a multi-modal model that enhances reasoning capabilities, significantly improving performance and efficiency over its predecessors.
The introduction of reasoning capabilities in the Granite 3.2 Instruct models allows users to toggle reasoning features depending on task requirements.
IBM employs 'inference scaling' to improve reasoning, generating multiple answers and selecting the best while optimizing the reasoning process dynamically during evaluation.
Granite 3.2's VLM excels in document understanding, aimed at outperforming existing models in specific benchmarks tailored for reasoning tasks.
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