AWS Machine Learning Blog

OCTOBER 30, 2023

In the following diagram, we depict an architecture to set up your infrastructure to read your proprietary data residing in Amazon Relational Database Service (Amazon RDS) and augment the Amazon Bedrock API request with product information when answering product-related queries from your generative AI application. Choose Create endpoint.

AWS 127

AWS ML ML AI 127

AWS Machine Learning Blog

FEBRUARY 13, 2024

We used FSx for Lustre and Amazon Relational Database Service (Amazon RDS) for fast parallel data access. Use SageMaker and Amazon FSx for Lustre for efficient data augmentation. Split data into train, validation, and test sets. Use a custom PyTorch Docker container including other open source libraries.

AWS 103

AWS AI AI ML 103

AWS Machine Learning Blog

MAY 18, 2023

Configure optional encryption settings and tags. Enter optional tags. For Index name , enter a name for the index (for example, my-sharepoint-index ). Enter an optional description. Choose Create a new role. For Role name , enter an IAM role name. Choose Next. For Access control settings , choose Yes. Enter an optional description.

AWS 76

AWS Database ML ML 76

AWS Machine Learning Blog

MARCH 15, 2024

Always put your response to the Human within the Response tags. Also add an XML tag to your output identifying the human intent.nHere are some examples:n H: hi there.nnA: Hi, how can I help you today?nnH: The valid intents are: Greeting,Place Order, Complain, Speak to Someone. n H: hellonnA: Hi, how can I help you today?

AWS 122

AWS AI AI Python 122

AWS Machine Learning Blog

AUGUST 15, 2023

You can implement other RAG solutions using the vector databases based on your choice, such as Amazon OpenSearch Service , Amazon RDS , Amazon Kendra , and more. The RAG-based video/audio question answering solution can potentially solve business problems of locating training and reference materials that are in the form of non-text content.

AWS 73

AWS ML ML AI 73

Mlearning.ai

SEPTEMBER 4, 2023

7] For industries with strict regulatory requirements, such as healthcare, finance, or defense, private instances, and business accounts can address this issue but have a hefty price tag. Currently, it offers support for pgvector, an extension for PostgreSQL that facilitates similarity searches on word embeddings, accessible via Amazon RDS.

AI 52

AI AI Azure Machine Learning 52