The next wave of generative AI (GenAI) is defined by reasoning. Training and inference form the backbone of this shift, ...

The AWS Certified Machine Learning Speciality is a three-hour exam that validates your ability to build, train, tune, and deploy machine learning models on AWS.

Services like AWS SageMaker, Azure ML and Google AI Platform have revolutionized this process with features like automated model tuning, one-click deployment and easy monitoring of deployed models.

AWS unveiled Trainium3, its next generation AI chip, which will allow customers to build bigger models faster and deliver superior real-time performance when deploying them.

Let’s unravel the magic behind deploying Llama2 on SageMaker using Deep Learning Containers (DLC). Llama 2 is a family of state-of-the-art open-access large language models released by Meta.

In this way, Predibase claims, it can reduce the time it takes to deploy machine learning models from months to just days. Since coming out of stealth mode last year, it says, more than 250 models ...

One certification, AWS Certified AI Practitioner, covers the fundamentals of artificial intelligence and machine learning, design considerations, model tuning and more.

H2O’s APIs allow developers to rapidly innovate and deploy smarter business applications in private and public clouds. Google-scale Prediction APIs enable developers to train and test models on ...