{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Machine Learning Tech Brief By HackerNoon","title":"DaVinci-Agency: A Shortcut to Long-Horizon AI Agents","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/e40c8c1c\"></iframe>","width":"100%","height":180,"duration":445,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/davinci-agency-a-shortcut-to-long-horizon-ai-agents.\n             DaVinci-Agency uses existing language models to generate diverse synthetic trajectories. \n            Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.\n            You can also check exclusive content about #ai, #davinci-agency, #long-horizon-agency, #synthetic-training-data, #data-efficient-training, #ai-agents, #error-propagation, #agentic-language-models,  and more.\n            \n            \n            This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                DaVinci-Agency uses existing language models to generate diverse synthetic trajectories, training long-horizon agents that plan and execute multi-step tasks with far less human data.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/KyA01h2FD2insgk-wX_xzV6vbJnTNl2BvPYVL-XaI9A/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjcyLzE2ODM1/ODI0ODgtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}