Alibaba’s AgentEvolver increases tooling model performance by approximately 30% using automatically generated synthetic tasks

Researchers at Alibaba’s Tongyi Lab have developed a new framework for self-evolving agents that create their own training data by exploring their application environments. The frame, AgentEvolveruses the knowledge and reasoning capabilities of large language models for autonomous learning, addressing the high costs and manual effort typically required to collect task-specific data sets. Experiments show…

Read More

Virtual Executive Training on Sustainable Investments in Agriculture – State of the Planet

Investments in agricultural land by domestic and international investors have the potential to support sustainable development. However, if investments and the legal frameworks that govern them are not carefully and equitably structured, these projects can cause significant social and environmental degradation and further exacerbate climate change. These opportunities and risks will increase as demand for…

Read More