Darren LI
@darrenli
Creator Economy, AI & retail-tech investor | J.D. & J.M. | PNG collector | Musical lover | Happy to chat, using Cal.com link below to book calls (https://cal.com/darrenli)
twitter.comDarren LI
We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
中国有三大红利:制造业红利、工程师红利和人才红利。在这个基础上,用欧洲最好的技术加上中国红利是有机会做到全球市场的
线性资本王淮的逆时代选择丨入局
AgentBench: Evaluating LLMs as Agents
Evaluating Large Language Models (LLMs) as agents in interactive environments, highlighting the performance gap between API-based and open-source models, and introducing the AgentBench benchmark.
arxiv.orgGenerative AI and
AgentBench: Evaluating LLMs as Agents
但费用和管辖条款除外
TS怎么谈，才能在投融资中掌握主动权- 知乎
RT-2-X (55B): one of the biggest models to date performing unseen tasks in academic labs
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
The key to this business model is the ready availability of cheap English-speaking labor around the globe.