ACUVA

Your Accurate Search for New Technology

Amazon SageMaker Clarify now supports foundation model evaluations

By

Foundation model evaluations with SageMaker Clarify is now generally available. This capability helps data scientists and machine learning engineers evaluate, compare, and select foundation models based on a variety of criteria across different tasks within minutes. SageMaker customers select between hundreds of foundation models to power their generative AI applications. They evaluate and compare these models during model selection and model customization to determine the optimal fit for their use case. This process can takes days identifying relevant benchmarks, configuring evaluation tools, and conducting evaluation on each model. The results obtained are frequently challenging to apply to their specific use case. SageMaker Clarify offers automated and human evaluations with interpretable results. Customers can use this new capability in Amazon SageMaker Studio to evaluate SageMaker-hosted LLMs or use fmeval to evaluate any LLMs. Get started by utilizing curated prompt datasets tailored for tasks like text generation, summarization, question answering, and classification. Customize inference parameters and prompt templates and compare results of different models settings. Extend evaluations with custom prompt datasets and metrics. Human evaluations enable customers to assess more subjective aspects like creativity and style. Following each evaluation, customers receive a comprehensive report, complete with visualizations and examples, and integrate them into their SageMaker ML workflows. This capability is available in all AWS Regions, except AWS GovCloud (US) Regions, China Regions, Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Canada West (Calgary), Europe (Zurich), Europe (Stockholm), Europe (Spain), Israel (Tel Aviv), Middle East (UAE). For additional details, see our product page, documentation and pricing page.

Amazon RDS now supports M6gd database instances in four additional AWS regions

By

Amazon Relational Database Service (Amazon RDS) for PostgreSQL, MySQL, and MariaDB now supports AWS Graviton2-based M6gd database instances in Asia Pacific (Hyderabad), Europe (Spain, Zurich), and Middle East (UAE) regions. With this regional expansion, M6gd instances are now available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in 25 regions: US East (Ohio, N. Virginia), US West (Oregon), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Calgary, Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), and Middle East (Bahrain, UAE) regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. M6gd database instances are available on Amazon RDS for PostgreSQL version 16.1 and higher, 15.2 and higher, 14.5 and higher, and 13.4 and higher. M6gd and R6gd database instances are available on Amazon RDS for MySQL version 8.0.32 and higher, and Amazon RDS for MariaDB version 10.11.4 and higher, 10.6.13 and higher, 10.5.20 and higher, and 10.4.29 and higher. Get started by creating a fully managed M6gd database instance using the Amazon RDS Management Console. For more details, refer to the Amazon RDS User Guide.

AWS supports dynamically removing and adding auto assigned public IPv4 address

By

Amazon VPC announces a network interface setting to dynamically remove and add an auto assigned public IPv4 address on EC2 instances. With this capability, customers that no longer require an auto assigned public IPv4 address on their EC2 instance can remove the public IPv4 address, and if needed attach back a new public IPv4 address, by modifying the public IP setting on the network interface. Before today, once a public IPv4 address was auto assigned to EC2 instance it was not possible to remove it. It remained on the network interface for the lifetime of the EC2 instance. The public IP setting on the network interface makes it easier for customers to be public IPv4 efficient and reduce public IPv4 cost. Customers that no longer need the auto assigned public IPv4 or are migrating to using private IPv4 address for SSH using EC2 instance connect endpoint can simply remove the auto assigned public IPv4 address, instead of recreating their applications on a new EC2 instance with no auto assigned public IPv4 address. This feature is available in all AWS commercial and the AWS GovCloud (US) Regions at no additional cost. For more information, please visit the VPC user guide.

AWS AppFabric now supports SentinelOne Singularity Cloud

By

Today, AWS AppFabric announces support for SentinelOne Singularity Cloud as data source and compatible security destination. Starting now, IT administrators and security analysts can use AppFabric to quickly integrate with 27 supported SaaS applications, aggregate enriched and normalized SaaS audit logs, and audit end-user access across their SaaS apps. 

Local time zone support for Amazon RDS for Db2

By

Amazon Relational Database Service (Amazon RDS) for Db2 now supports local time zones. You can now set the time zone for your Amazon RDS for Db2 instances to the local time zone of your choice. With local time zone support, you can match your Amazon RDS for Db2 database instance time zone to the time zone of your application. To change the time zone while creating a new Amazon RDS for Db2 instance, use the ‘Select your Time Zone’ dropdown in the AWS Management Console. Amazon RDS makes it simple to set up, operate, and scale Db2 deployments in the cloud. To learn more about Amazon RDS for Db2, check Amazon RDS for Db2 User Guide and Amazon RDS for Db2 pricing for pricing details and regional availability.

Scroll Up