Caffe是一个深度学习框架，考虑到表达、速度和模块性。它由伯克利人工智能研究所（BAIR）和社区贡献者开发。贾扬青在加州大学伯克利分校攻读博士期间创建了这个项目。Caffe是根据BSD 2条款许可证发布的。
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.
Ollama是一个开源框架，专为在本地运行大型语言模型（LLM）而设计。它将模型权重、配置和数据打包在一起[…]