Open-source large language models (LLMs) have become popular, allowing researchers, developers, and organizations to access these models to foster innovation and experimentation. This encourages...
ONNX (Open Neural Network Exchange) is an open-source standard for representing deep learning models widely supported by many providers. ONNX provides tools for optimizing...
Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. AWS...
Training large language models (LLMs) with billions of parameters can be challenging. In addition to designing the model architecture, researchers need to set up...
This blog post is co-written with Dr. Ebtesam Almazrouei, Executive Director–Acting Chief AI Researcher of the AI-Cross Center Unit and Project Lead for LLM...
Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes...
The demand for multi-object tracking (MOT) in video analysis has increased significantly in many industries, such as live sports, manufacturing, and traffic monitoring. For...
Multi-object tracking is a crucial task in computer vision that involves detecting and tracking multiple objects in a video stream. It has numerous applications,...
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get...
Amazon Web Services (AWS) has recently introduced a new feature to its machine learning platform, Amazon SageMaker. The new feature, called SageMaker XGBoost, allows...
