Mintlify

Serverless GPU毫升模型的推理Pay-per-millisecond API来毫升在生产运行。(Serverless GPU inference for ML models Pay-per-millisecond API to run ML in production.)

常识的机器提供了api、接口和开放源码软件综合输入和经验转化为数字内容创建和AI培训模拟器。我们相信,学习世界模型生成系统的路径实现AGI通讯社,类似于一个孩子对其世界从经验中学习。(Common Sense Machines provides APIs, interfaces, and open source software to translate multi-modal inputs and experiences into a digital simulator for AI training and content creation. We believe that learning generative world models is a systematic path towards achieving AGI, similar to how a child learns about its world from experience.)

加速你的视力AI模型创建。合成数据是一种廉价的替代真实世界数据用于训练和提高人工智能模型。为了培养准确的人工智能模型,大量的数据是必要的。使用真实的3 d模型可以很容易地创建合成人工智能分类和数据对象检测。(Accelerate Your Vision AI Model Creation. Synthetic data is an inexpensive alternative to real world data that is used to train and improve AI models. In order to train accurate AI models, a large amount of data is needed. With use of realistic 3D models you can easily create synthetic data for AI classification and object detection.)

租金云gpu从0.2美元/小时。节省超过80�在gpu上。GPU租车很容易对PyTorch Jupyter, Tensorflow或其他人工智能框架。(Rent Cloud GPUs from $0.2/hour. Save over 80% on GPUs. GPU rental made easy with Jupyter for PyTorch, Tensorflow or any other AI framework.)

#VALUE!(GPU Everything. Run anything Dockerized. Run autoscale Inference. Save costs 50-90%.)

问答对任何Github库。输入一个Github库,我们将下载到服务器并创建嵌入的代码。回购需要公开,< 200文件,< 100 mb。(Question answering against any Github repository. Input a Github repository, we will download it to the server and create embeddings against the code. Repos need to be public, <200 files, and <100MB.)