AWS Machine Learning Blog

DECEMBER 18, 2023

Try out MongoDB Atlas Try out MongoDB Atlas Time Series Try out Amazon SageMaker Canvas Try out MongoDB Charts About the authors Igor Alekseev is a Senior Partner Solution Architect at AWS in Data and Analytics domain. In his role Igor is working with strategic partners helping them build complex, AWS-optimized architectures.

Clustering 126

Clustering AWS Database ML 126

Chatbots Life

MAY 22, 2023

After 2010, SaaS-[Software as a Service] became a trend in the market. Domino Data Lab: Domino Data Labs provides a system of record that tracks all data science activity across an organization and acts as an orchestration layer on the AWS storage foundation. That would have a major impact on IT companies globally.

AI 98

AI AI AWS Data Science 98

AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

AWS 107

AWS Natural Language Processing K-nearest Neighbors AI 107

AWS Machine Learning Blog

DECEMBER 6, 2023

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. Install the backend AWS Cloud Development Kit (AWS CDK) app : Open the backend folder.

SQL 127

SQL AWS Analytics Analytics 127

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Prerequisites To follow this tutorial, you need the following: An AWS account. AWS Identity and Access Management (IAM) permissions. About the Authors Dhaval Shah is a Senior Solutions Architect at AWS, specializing in Machine Learning. Prior to joining AWS, Ninad worked as a software developer for 12+ years.

ML 120

ML ML AWS SQL 120

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we show you how DXC and AWS collaborated to build an AI assistant using large language models (LLMs), enabling users to access and analyze different data types from a variety of data sources. LAS Conversational capabilities The basic router handles a single user query and isn’t aware of chat history.

Python 101

Python Machine Learning Machine Learning AI 101

Mlearning.ai

JUNE 18, 2023

This puts paupers, misers and cheapskates who do not have access to a dedicated deep learning rig or a paid cloud service such as AWS at a disadvantage. Not only do the latest AI models require large amounts of electricity to run, they also require optimal hardware such as dedicated GPUs to run fast. which is accessible from Google Colab.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

Flipboard

NOVEMBER 22, 2023

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and also discoverable on the AWS Data Exchange. This quarter, AWS released 34 new or updated datasets.

AWS 96

AWS Machine Learning Machine Learning ML 96

Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

Database 155

Database AWS ETL SQL 155

AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

AI 81

AI AI AWS Database 81

Flipboard

FEBRUARY 7, 2023

If you have an AWS account and have set up a SageMaker Studio domain, you can also run these notebooks on Studio using the default Data Science Python kernel (with the ImJoy-jupyter-extension installed) while selecting from a variety of compute instance types. Gang Fu is a Healthcare Solution Architect at AWS.

AWS 130

AWS ML ML Deep Learning 130

AWS Machine Learning Blog

NOVEMBER 18, 2024

MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. Due to file size limitations, each data type in the CMS Linkable 2008–2010 Medicare DE-SynPUF database is released in 20 separate samples.

SQL 100

SQL Database AWS AI 100