IBM is launching a new family of AI models called Granite, including the Granite 3.2 Instruct, tailored for enterprise use. The Granite models boast experimental reasoning and visual processing capabilities, optimized for tasks such as summarization, problem solving, and code generation. A key innovation is a programmable reasoning capability, allowing users to enable or disable reasoning to conserve energy. The models also incorporate a reward system that enhances efficiency, making them competitive with larger models like Claude 3, highlighting IBM’s focus on smaller, more efficient AI solutions in the enterprise market.
IBM’s new Granite AI models, particularly the Granite 3.2 Instruct, are designed for tasks like code generation and summarization and feature programmable reasoning.
The introduction of a reward system for reasoning models optimizes the performance of the Granites, allowing them to generate outcomes more efficiently compared to prior models.
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