AI Briefing#amazon-sagemaker
The latest AI and developer news about #amazon-sagemaker, with the original source and a short summary.
The latest AI and developer news about #amazon-sagemaker, with the original source and a short summary.
A deep-link integration has been launched that lets you instantly fine-tune or deploy Hugging Face models in Amazon SageMaker Studio.
Proposes an architecture that uses AWS Spatial Data Management (SDMA) to give inspection data spatial context and improve analysis efficiency.
This presents the optimal governance pattern for securely sharing cross-account Redshift data in SageMaker Unified Studio while isolating source compute.
Over 20 years, AWS has evolved the cloud with more than 240 services and thousands of features.
Upstage and AWS are providing Solar and Document AI free of charge to nonprofits and educational institutions.
Upstage has released the 10.7B-parameter Solar Mini on AWS.
Upstage launched its 22B LLM Solar Pro on AWS, expanding industry-specific customized use.
KakaoPay held its in-house hackathon '2025 CafeTon' offline, leveraging AWS Generative AI.
Hugging Face has officially launched a dedicated container for efficiently deploying embedding models on Amazon SageMaker.
AI21 released open-source Python SDK v2.0, simplifying the developer experience.
Hugging Face has released benchmark results for over 60 configurations to optimally deploy Llama 2 on Amazon SageMaker.
Fetch optimized its ML pipeline using SageMaker and Hugging Face, reducing latency by 50% and increasing accuracy by 200%.
AI21 Labs' LLMs have been added to Amazon SageMaker Studio.
Hugging Face has launched a TGI-based LLM inference container dedicated to Amazon SageMaker.
Hugging Face and AWS are expanding their strategic partnership to accelerate the development and deployment of next-generation AI models.
A guide to optimizing BERT model inference performance and reducing costs using AWS Inferentia and Hugging Face Transformers.
A new inference solution was unveiled through the collaboration between Hugging Face and Amazon SageMaker, making it easy to deploy transformer models.
Through the collaboration between Hugging Face and Amazon SageMaker, distributed training of Transformers models is optimized.
Hugging Face and Amazon have launched optimized deep learning containers for SageMaker through a strategic partnership.
Notion improved search accuracy, speed, and multilingual support with Cohere Rerank.