Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Amazon SageMaker

Close

Construct a dynamic learning pipeline for auto-labelling of photos using AWS services.

Amazon Rekognition, Amazon SageMaker, Amazon SageMaker Ground Truth, AWS CodePipeline, Best Practices, Customer Solutions, UncategorizedApril 11, 202439Views0Likes0Comments
Veoneer, a global leader in automotive electronic safety systems, collaborated with Amazon to develop an active learning pipeline for in-cabin sensing. Collaborating with Amazon's Worldwide Specialist Organization and the Generative AI Innovation Centre, they were able to cut costs by 90% and speed up the annotation process from weeks to hours. In-cabin sensing uses cameras, radar,…

Read More

Utilizing Amazon SageMaker’s geospatial capabilities for the comprehension and forecast of urban heat islands at Gramener.

Advanced (300), Amazon SageMaker, Artificial Intelligence, Customer Solutions, Geospatial ML with Amazon SageMaker, Sustainability, UncategorizedApril 6, 202438Views0Likes0Comments
Gramener, a Straive Company, has developed GeoBox, a solution that employs spatial data and advanced modeling techniques to understand and mitigate the impacts of urban heat islands (UHIs). UHIs, areas within cities that register significantly higher temperatures than rural areas, can lead to a variety of environmental and health issues including increased energy consumption, poor…

Read More

Nielsen Sports has recorded a 75% decrease in video analysis costs thanks to the use of Amazon SageMaker multi-model endpoints.

Amazon SageMaker, Artificial Intelligence, Customer Solutions, UncategorizedApril 5, 202439Views0Likes0Comments
Nielsen Sports, a global leader in audience insights, data, and analytics, has recently reduced operational and financial cost by 75% through modernizing its system, with the use of Amazon SageMaker multi-model endpoints (MMEs). This system involved a vast number of machine learning models in production. Nielsen Sports' technology uses artificial intelligence, particularly computer vision, to track…

Read More

Effortlessly shift between no-code and code-first machine learning using Amazon SageMaker Canvas and Amazon SageMaker Studio.

Amazon SageMaker, Amazon SageMaker Canvas, Amazon SageMaker Studio, Intermediate (200), Technical How-to, UncategorizedApril 4, 202440Views0Likes0Comments
Amazon SageMaker Studio and Amazon SageMaker Canvas are powerful tools by AWS designed for machine learning (ML) development and operation. SageMaker Studio is a web-based, integrated development environment (IDE) allowing users to build, train, debug, deploy, and monitor ML models. SageMaker Canvas is a no-code ML tool enabling business and data teams to craft accurate…

Read More

Upstage’s solar models are now accessible through Amazon SageMaker JumpStart.

Amazon SageMaker, Amazon SageMaker JumpStart, Artificial Intelligence, AWS Marketplace, Generative AI, UncategorizedApril 3, 202439Views0Likes0Comments
A recent blog co-authored by Hwalsuk Lee at Upstage announced that Upstage’s Solar foundation model is now available on Amazon SageMaker JumpStart. The Solar language model has been pre-trained, offering improved functionality across languages, domains, and tasks. The Solar Mini Chat and Solar Mini Chat – Quant models are now accessible via SageMaker JumpStart. Amazon SageMaker…

Read More

Activate single-use entry to Amazon SageMaker Canvas via AWS IAM Identity Center: Second Part

Amazon SageMaker, Amazon SageMaker Canvas, Artificial Intelligence, Intermediate (200), UncategorizedApril 3, 202436Views0Likes0Comments
Amazon SageMaker Canvas offers users end-to-end machine learning (ML) applications without the need for coding. The interface supports functionalities such as data preparation, endpoint deployment, and adjustment of foundation models for generative AI among others. A crucial step in enabling users and ensuring secure environments involves the use of single sign-on (SSO) via AWS IAM Identity…

Read More

A tour across North America showcasing Generative AI by AWS and Hugging Face.

Amazon SageMaker, AWS Inferentia, Events, Generative AI, UncategorizedApril 3, 202439Views0Likes0Comments
In 2023, Amazon Web Services (AWS) announced an expanded collaboration with Hugging Face, a leading artificial intelligence (AI) platform, to help customers accelerate their journey in generative artificial intelligence. Hugging Face, established in 2016, provides more than 500,000 open-source models and over 100,000 datasets. AWS and Hugging Face have been working together to simplify the…

Read More

Improve the cost-effectiveness of LLM inference on NVIDIA GPUs through the synergy of Amazon SageMaker and NVIDIA NIM Microservices.

Amazon SageMaker, Artificial Intelligence, UncategorizedMarch 19, 202434Views0Likes0Comments
NVIDIA and Amazon Web Services (AWS) have announced that their NVIDIA Inference Microservices (NIM) now integrates with Amazon SageMaker. This latest development provides users with the ability to deploy and optimize industry-leading large language models (LLMs). This new integration of technologies such as NVIDIA TensorRT, NVIDIA TensorRT-LLM, and NVIDIA Triton Inference Server will dramatically decrease…

Read More

+60 12-462 2768
hello@goacademyai.com