article thumbnail

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

article thumbnail

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Solution overview The solution outlines how to build a reverse image search engine to retrieve similar images based on input image queries. Engine : Select nmslib. Choose Create vector index.

article thumbnail

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. Store embeddings into the Amazon OpenSearch Serverless as the search engine. We also include screenshots and details of the output.

article thumbnail

The 5 Stages of Account-Based Marketing — and How to Win Them All

The benefits of account-based marketing are clear: internal alignment, shorter sales cycles, higher conversion rates. Data is the fuel that powers your ABM engine. Without it, you can’t find and reach your target accounts. But none of this is possible without the most important element of a successful ABM program: good data.

article thumbnail

Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and stress testing. This post walks through the steps involved in configuring S3 Access Points to enable cross-account access from a SageMaker notebook instance.

article thumbnail

Are You Protected? Why Every Contact Center Needs Social Engineering Training

Contact Center Pipeline

They provide their name and mailing address, but cannot remember their account number or security password. However, they are shouting and threatening to complain on social media regarding supposedly unfair charges to their account. They threaten to cancel their service. Eventually, your agent calms the […].