PyTorch 基金会公布 2026 年大使名单,首批 4 人来自刚果、尼日利亚和美国
PyTorch 基金会公布 2026 年大使名单,首批 4 人里两位来自非洲,主打把 PyTorch 推广给欠发达地区的学生和研究者,还有专门帮工程师做生产级部署的方向。平时靠 PyTorch 教程入门的同学,之后可能会刷到这些大使的产出。
PyTorch 基金会公布 2026 年度大使(Ambassadors)名单,首批公开的 4 位分别来自刚果民主共和国、尼日利亚和两位来自美国,包括 Abraham Imani Bahati、Adesina Lekan Samuel、Aditya Mehra 和 Ali Gowani。
大使的工作方向各有侧重:来自刚果的 Bahati 和尼日利亚的 Samuel 重点面向非洲的开发者与学生推广开源 AI 生态,降低 PyTorch 的使用门槛;美国的 Aditya Mehra 计划通过动手教程、社区活动和指导新贡献者,帮助工程师把 PyTorch 从实验项目推进到可靠的生产系统;Ali Gowani 则聚焦开源框架在教学、科研和部署场景中的普及。
PyTorch 于 2022 年从 Meta 移交给独立的 PyTorch 基金会管理,隶属 Linux 基金会,大使计划是该基金会扩大全球社区覆盖的常规动作,2026 年批次明显加强了非洲地区的代表。对使用 PyTorch 的开发者来说,后续在教程、社区活动和贡献者指导上会接触到更多本地化的资源。
Welcome to our 2026 PyTorch Foundation Ambassadors! Today we feature: Abraham Imani Bahati @imanibahati0 · Democratic Republic of Congo Adesina Lekan Samuel @limitless__100 · Nigeria Aditya Mehra · USA Ali Gowani · USA
“I’m excited to contribute to the PyTorch community, learn alongside researchers and developers from around the world, and help make open-source AI more accessible to developers and learners across Africa.” - Abraham Imani Bahati
“I cannot wait to bridge the gap in AI access by democratizing PyTorch and its broader ecosystem for underrepresented students and researchers across all levels!” - Adesina Lekan Samuel
“I’m excited to help more engineers move PyTorch from experiments to reliable production systems, through hands-on tutorials, community events, and mentoring new contributors.” - Aditya Mehra
“PyTorch has fundamentally transformed how we teach, research, and deploy artificial intelligence. I’m excited to advocate for the ecosystem and drive hands-on adoption of open-source frameworks that keep AI innovation accessible, collaborative, and responsible.” - Ali Gowani
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include PyTorch, PyTorch Foundation, 开源模型, 开发者社区.
Source attribution: curated from PyTorch (@PyTorch).