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Asana has successfully deployed a custom model (GPT-6.1 Sol) within its browser-based Codex environment, achieving a significant reduction in inference costs while simultaneously improving response latency for its AI agents. This development highlights the practical impact of specialized fine-tuning and efficient architecture on enterprise productivity tools, moving beyond generic foundation models to optimize specific use cases.
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Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
OpenAI1 min de cititArticolul și perspectiva sunt în engleză.
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
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