Foundation model monitoring on Amazon SageMaker | Amazon Web Services

AWS Summit London 2024 - Scaling Thomson Reuters Language Model w/ Amazon SageMaker (AIM204)Подробнее

AWS Certified AI Practitioner Exam Prep | AIF-C01 Practice Test - Questions & ExplanationПодробнее

AI Practitioner Exam Bites #38: 7 Easy Fixes to Mitigate Bias & Variance in AI ModelsПодробнее

Accelerate FM pre-training on Amazon SageMaker HyperPod (Slurm): Intro | Amazon Web ServicesПодробнее

Customizing foundation models on Amazon SageMaker | Step 5: Fine-tune modelsПодробнее

AWS OnAir Amazon SageMaker SpecialПодробнее

Accelerate FM pre-training on Amazon SageMaker HyperPod (Amazon EKS) | Amazon Web ServicesПодробнее

AWS Summit London 2024 - Accelerate your GenAI journey with Amazon SageMaker JumpStart (AIM314)Подробнее

Accelerate FM pre-training on Amazon SageMaker HyperPod (Slurm): Creating a clusterПодробнее

Getting started with MLOps on Amazon SageMaker for generative AI | Amazon Web ServicesПодробнее

The Power of Amazon SageMaker: AI / ML Made EasyПодробнее

Getting started with Amazon SageMaker Canvas | Amazon Web ServicesПодробнее

Generative AI | 25th January 2024 | 360DigiTMGПодробнее

Increase efficiencies in foundation model experimentation and deployment on Amazon SageMakerПодробнее

NashKnolx: Building and Deploying Machine Learning Models with Amazon SageMakerПодробнее

#3-Deployment Of Huggingface OpenSource LLM Models In AWS Sagemakers With EndpointsПодробнее

MLOps vs LLMOps: Demystifying BuzzwordsПодробнее

Build a foundation model evaluation pipeline | Amazon Web ServicesПодробнее

Integrating Generative AI Models with Amazon BedrockПодробнее