AWS Machine Learning

MARCH 30, 2023

You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. For any parameter values that are greater than 2 hours, Amazon Personalize automatically refreshes the trending item recommendations every 2 hours to account for new interactions and new items.

Personalization 93

Personalization APIs Accountability Engineering 93

AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra Intelligent Ranking application programming interface (API) – The functions from this API are used to perform tasks related to provisioning execution plans and semantic re-ranking of your search results. For this tutorial, you’ll need a bash terminal on Linux , Mac , or Windows Subsystem for Linux , and an AWS account.

Scripts 94

Scripts APIs Engineering Transportation 94

AWS Machine Learning

NOVEMBER 10, 2022

billion in rewards since 2005. Prodege worked with the AWS account team to first identify the business use case of being able to efficiently process receipts in an automated way so that their business was only issuing rebates to valid receipts. The model’s endpoints could be easily accessed using the API.

Accountability 79

Accountability APIs Enterprise Marketing 79

Hodusoft

JULY 3, 2024

6 Onboarding and Support Enterprise contact center software provides personalized onboarding, training and workshops, dedicated account manager, and ongoing support. 8×8 8×8 is an excellent enterprise contact center software provider that combines contact center, voice, video, chat, and enterprise API solutions.

Contact center software 52

Contact center software Enterprise Contact Center Interactive Voice Response 52

AWS Machine Learning

OCTOBER 16, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

SaaS 78

SaaS APIs Construction Accountability 78

AWS Machine Learning

NOVEMBER 22, 2024

We use the following AWS services: Amazon Bedrock to invoke LLMs AWS Identity and Access Management (IAM) for permission control across various AWS services Amazon SageMaker to host Jupyter notebooks and invoke the Amazon Bedrock API In the following sections, we demonstrate how to use the GitHub repository to run all of the techniques in this post.

Consulting 95

Consulting Consulting APIs Calibration 95