Generative Data Intelligence

Tag: Image Classification

Low Code Automation

Traditional software development methods often involve lengthy coding cycles and dependencies on specialized IT teams, resulting in time constraints, resource limitations, and a lack...

Enel automates large-scale power grid asset management and anomaly detection using Amazon SageMaker | Amazon Web Services

This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for...

Instant Document Automation with Zero Shot

Artificial intelligence and machine learning have become indispensable tools in today’s fast-paced business world. One of the key issue issues has been the time,...

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning | Amazon Web Services

Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening...

Intel woos China with nerfed Habana Gaudi2 AI chips

Intel has followed Nvidia's lead and will produce a modified version of its AI accelerator – specifically the Habana division's Guadi2 – for the...

Access private repos using the @remote decorator for Amazon SageMaker training workloads | Amazon Web Services

As more and more customers are looking to put machine learning (ML) workloads in production, there is a large push in organizations to shorten...

Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas | Amazon Web Services

Cost of poor quality is top of mind for manufacturers. Quality defects increase scrap and rework costs, decrease throughput, and can impact customers and...

Netskope Enables Secure Enterprise Use of ChatGPT and Generative AI Applications

SANTA CLARA, Calif. – June 20, 2023 – Netskope, a leader in Secure Access Service Edge (SASE), today announced general availability of a comprehensive data...

Get started with the open-source Amazon SageMaker Distribution | Amazon Web Services

Data scientists need a consistent and reproducible environment for machine learning (ML) and data science workloads that enables managing dependencies and is secure. AWS...

Supervised Learning vs. Unsupervised Learning Algorithms

IntroductionMachine Learning (ML) is a field of study that focuses on developing algorithms to learn automatically from data, making predictions and inferring patterns without...

Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend | Amazon Web Services

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. One...

Accelerate your learning towards AWS Certification exams with automated quiz generation using Amazon SageMaker foundations models | Amazon Web Services

Getting AWS Certified can help you propel your career, whether you’re looking to find a new role, showcase your skills to take on a...

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