The primary focus of open-weight models, such as gpt-oss-120b and gpt-oss-20b, is to enhance safety and provide customizable performance within agentic workflows. These models are designed to follow strong instruction following, tool use, and reasoning capabilities, allowing them to be integrated into various systems by different stakeholders[1].
Safety is foundational to the open-weight models, as they present different risk profiles compared to proprietary models. The release of these models aims to ensure that developers and enterprises can implement necessary safeguards while benefiting from the strong capabilities offered by the models[1].
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