AWS Machine Learning

SEPTEMBER 1, 2023

Note that multiple personas can be covered by the same person depending on the scaling and MLOps maturity of the business. Example use cases are clothing design generation or imaginary personalized images. If an organization has no AI/ML experts in their team, then an API service might be better suited for them.

Engineering 98

Engineering Accountability Construction APIs 98

AWS Machine Learning

OCTOBER 5, 2022

Apache Flink is a distributed streaming, high-throughput, low-latency data flow engine that provides a convenient and easy way to use the Data Stream API, and it supports stateful processing functions, checkpointing, and parallel processing out of the box. Yash Shah is a Science Manager in the Amazon ML Solutions Lab. Erick Martinez is a Sr.

Calibration 89

Calibration Engineering Automotive Analytics 89

AWS Machine Learning

JUNE 3, 2024

Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API. The second component converts these extracted frames into vector embeddings directly by calling the Amazon Bedrock API with Amazon Titan Multimodal Embeddings.

APIs 79

APIs Accountability Entertainment Construction 79

AWS Machine Learning

NOVEMBER 22, 2023

If you’re new to re:Invent, you can attend sessions of the following types: Keynotes – Join in person or virtually and learn about all the exciting announcements. With generative AI, it is possible to hyper-personalize targeted recommendations for shopping and streaming. Reserve your seat now! or “Because you watched.”

Engineering 105

Engineering Best practices APIs Government 105

AWS Machine Learning

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository. Background.

Analytics 71

Analytics Healthcare Engineering Government 71

AWS Machine Learning

MARCH 28, 2024

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium

Telecommunications 106

Telecommunications Healthcare Transportation Accountability 106

AWS Machine Learning

JANUARY 31, 2024

Amazon Titan Text Embeddings is a text embeddings model that converts natural language text—consisting of single words, phrases, or even large documents—into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

Enterprise 105

Enterprise Engineering Entertainment APIs 105

AWS Machine Learning

FEBRUARY 20, 2023

Today, we announce that you can personalize the image generation model to your use case by fine-tuning it on your custom dataset in Amazon SageMaker JumpStart. You can access these scripts with a single click through the Studio UI or with very few lines of code through the JumpStart APIs.

Scripts 78

Scripts APIs Entertainment Construction 78

AWS Machine Learning

NOVEMBER 30, 2023

With Amazon Bedrock, customers are only ever one API call away from a new model. We also have an embeddings model, Titan Text Embeddings, for search use cases and personalization. CRM or ERP applications), and write a few AWS Lambda functions to execute the APIs (e.g., Meta Llama 2 70B, and additions to the Amazon Titan family.

APIs 123

APIs Enterprise Best practices Technology 123

AWS Machine Learning

NOVEMBER 27, 2023

All existing and new customers using Amazon Transcribe can experience the performance improvements out of the box, without any API changes. To offer more personalized browsing experiences with titles such as “Rise and Shine” and “Love, laughter, and hijinks,” companies need to allocate resources to generate compelling taglines manually.

Analytics 85

Analytics Self service Entertainment Contact Center 85

AWS Machine Learning

MARCH 9, 2023

Hundreds of software as a service (SaaS) applications are being developed around these pre-trained models, which are either directly served to end-customers, or fine-tuned first on a per-customer basis to generate personal and unique content (such as avatars, stylized photo edits, video game assets, domain-specific text, and more).

SaaS 79

SaaS Personalization APIs Best practices 79

AWS Machine Learning

APRIL 13, 2023

Alexa, powered by more than 30 different ML systems, helps customers billions of times each week to manage smart homes, shop, get information and entertainment, and more. We have thousands of engineers at Amazon committed to ML, and it’s a big part of our heritage, current ethos, and future.

APIs 145

APIs Engineering Best practices Entertainment 145