aws-cloudformation

5/25/2023, 12:00:00 AM ~ 5/26/2023, 12:00:00 AM (UTC) Recent Announcements Amazon SageMaker JumpStart now supports fine-tuning of Foundation Models with domain adaptation Starting today, Amazon SageMaker JumpStart provides the capability to fine-tune a large language model, particularly a text generation model on a domain-specific data set. Customers can now fine-tune models with their custom data set to improve performance in specific domains. For example, this blog describes how to use domain adaption to fine tune a GPT-J 6B model on publicly available financial data from the Security and Exchange Commission so that the model can generate more relevant text for financial services use cases....

5/12/2023, 12:00:00 AM ~ 5/15/2023, 12:00:00 AM (UTC) Recent Announcements AWS Marketplace introduces new self-service listing feature for single AMI products AWS Marketplace now features a new self-service listing experience in the AWS Marketplace Management Portal for single AMI products. The new feature enables AWS Marketplace sellers to publish and update AMI listings more quickly and easily. This feature enables you to directly interact with AWS Marketplace catalog to create, preview, test, and update your product listing without needing AWS Marketplace to manually process your inputs....

5/3/2023, 12:00:00 AM ~ 5/4/2023, 12:00:00 AM (UTC) Recent Announcements Amazon RDS for PostgreSQL now supports pgvector for simplified ML model integration Amazon Relational Database Service (RDS) for PostgreSQL now supports the pgvector extension to store embeddings from machine learning (ML) models in your database and to perform efficient similarity searches. Embeddings are numerical representations (vectors) created from generative AI that capture the semantic meaning of text input into a large language model (LLM)....

4/17/2023, 12:00:00 AM ~ 4/18/2023, 12:00:00 AM (UTC) Recent Announcements Prepare data easily with Amazon Personalize and Amazon SageMaker Data Wrangler integration Amazon Personalize is integrating with Amazon SageMaker Data Wrangler to make it easier for customers to import and prepare their data. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. The quality of data used for model training affects the quality of the recommendations, which makes data aggregation and preparation a critical step to get high-quality recommendations using Amazon Personalize....

3/22/2023, 12:00:00 AM ~ 3/23/2023, 12:00:00 AM (UTC) Recent Announcements Amazon SageMaker Data Wrangler now enables OAuth based access to Snowflake Amazon SageMaker Data Wrangler now supports OAuth based authentication with identity providers including Okta, Microsoft Azure AD, and Ping Federate to access data in Snowflake for machine learning (ML). Data Wrangler reduces the time it takes to aggregate and prepare data for ML from weeks to minutes using a visual interface in Amazon SageMaker Studio....