Xebia
DECEMBER 16, 2024
The rise of platform engineering Over the years, the process of software development has changed a lot. This approach made the development process straightforward initially, but as applications grew in complexity, maintaining and scaling them became increasingly challenging.
Xebia
OCTOBER 24, 2024
Among the myriads of BI tools available, AWS QuickSight stands out as a scalable and cost-effective solution that allows users to create visualizations, perform ad-hoc analysis, and generate business insights from their data. AWS does not provide a comprehensive list of supported dataset types.
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AWS Machine Learning - AI
DECEMBER 11, 2024
Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.
AWS Machine Learning - AI
DECEMBER 24, 2024
To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/
AWS Machine Learning - AI
NOVEMBER 26, 2024
AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.
AWS Machine Learning - AI
NOVEMBER 15, 2024
With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. The solution: Principal AI Generative Experience with QnABot Principal began its development of an AI assistant by using the core question-answering capabilities in QnABot.
AWS Machine Learning - AI
NOVEMBER 7, 2024
It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. A centralized service that exposes APIs for common prompt-chaining architectures to your tenants can accelerate development.
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