Pretrained AI
What is Pretrained AI?
Configure and deploy your own private, hosted API endpoints to process text, images, and other data using state-of-the-art machine learning in a few clicks. Chain together one or more models to efficiently process and extract insights from your data.
Pretrained AI is a tool in the AI Infrastructure category of a tech stack.
Key Features
Chain multiple pretrained models together to create custom endpoints with computer vision and natural language processingRESTful API endpoints are built so your can dial up the throughput without worrying about performanceIntegrate state-of-the-art machine learning into your applications without spending time in the labLet us handle the machine learning so you can focus on your product
Pretrained AI Pros & Cons
Pros of Pretrained AI
No pros listed yet.
Cons of Pretrained AI
No cons listed yet.
Pretrained AI Alternatives & Comparisons
What are some alternatives to Pretrained AI?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
