Generative Data Intelligence

Tag: Ubuntu

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural...

Scale your machine learning workloads on Amazon ECS powered by AWS Trainium instances | Amazon Web Services

Running machine learning (ML) workloads with containers is becoming a common practice. Containers can fully encapsulate not just your training code, but the entire...

Protecting SSH keys with TPM 2.0, now available on Debian | Ledger

In this protocol, users are required to be authenticated. They can do this with passwords, files containing private RSA keys, hardware devices such as...

Have You Played the Top 10 Most Played Games on Steam Yet?

Are you a gaming enthusiast who can’t get enough of Steam’s latest and greatest offerings? Do you crave adrenaline-fueled action, mind-bending strategy, and unforgettable...

Have You Played the Top 10 Most Played Games on Steam Yet? » Agami Esports

Are you a gaming enthusiast who can’t get enough of Steam’s latest and greatest offerings? Do you crave adrenaline-fueled action, mind-bending strategy, and unforgettable...

How to extend the functionality of AWS Trainium with custom operators

Deep learning (DL) is a fast-evolving field, and practitioners are constantly innovating DL models and inventing ways to speed them up. Custom operators are...

Deploy large language models on AWS Inferentia2 using large model inference containers

You don’t have to be an expert in machine learning (ML) to appreciate the value of large language models (LLMs). Better search results, image...

Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters

Modern model pre-training often calls for larger cluster deployment to reduce time and cost. At the server level, such training workloads demand faster compute...

Explain text classification model predictions using Amazon SageMaker Clarify

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance...

Best practices for load testing Amazon SageMaker real-time inference endpoints

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML...

Ledger Stax – A New E-Ink-based Hardware Crypto Wallet

6 Dec 2022 When we are talking about hardware crypto wallets for storing Bitcoin and other popular crypto coins Ledger is usually the name...

How financial services can benefit from cloud computing

In financial services, trust is key. See how cloud computing can make a difference to your customers and your business. In the...

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