Guides

Daisy Chaining Machine Learning Models for End-to-End Facial Recognition

In this article, we will explore how an engineer can leverage a series of pre-trained machine-learning models to create a comprehensive facial recognition system. This system will be capable of

Real-Time Fraud Detection using SageMaker and LightGBM

Deploying a real-time fraud detection system using SageMaker and PyTorch involves data preprocessing, training a LightGBM model, and deploying it on SageMaker for predictions. This end-to-end guide offers a robust solution to detect fraudulent activities swiftly.

Building a Deepfake Detection System using SageMaker

Build a deepfake detection system using Mesonet and AWS SageMaker. This tutorial covers model deployment, inference pipeline creation, and future steps for fine-tuning.

Set Up and Run OpenAI's CLIP on Amazon SageMaker for Inference

How to deploy and run OpenAI's CLIP model on Amazon SageMaker for efficient real-time and offline inference.