88Z AI, 21 April — Alibaba Tongyi Lab announced the official upgrade of AgentScope Tuner, a one-stop automatic optimization engine designed for Agentic AI. It offers capabilities in prompt tuning, model selection, and reinforcement fine-tuning, covering the entire R&D lifecycle.
At a glance
- AgentScope Tuner upgrade supports prompt tuning, model selection, and reinforcement fine-tuning
- Features agent-native closed loop and unified API design for zero-code transformation costs
The update
Alibaba Tongyi Lab recently announced the official upgrade of AgentScope Tuner, a one-stop automatic optimization engine built specifically for Agentic AI. This update aims to meet the full-cycle needs ranging from lightweight optimization in the early stages of R&D to deep tuning in later stages. Its core functions cover three main areas: prompt tuning, model selection, and reinforcement fine-tuning. The key highlights of the product include the implementation of an agent-native closed loop and the adoption of a unified API design paradigm. This design significantly lowers the technical barrier, allowing users to achieve zero-code transformation costs. As a result, developers can more efficiently utilize automated tools for model optimization and iteration, enhancing both development efficiency and final outcomes.
Sources & editorial note
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- 通义实验室Source published
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