AWS Machine Learning

Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta […]

Mixtral-8x7B is now available in Amazon SageMaker JumpStart Today, we are excited to announce that the Mixtral-8x7B large language model (LLM), […]

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20% Large language model (LLM) training has surged in […]

Overcoming common contact center challenges with generative AI and Amazon SageMaker Canvas Great customer experience provides a competitive edge and […]

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker Customers are faced with increasing security threats and […]

Llama Guard is now available in Amazon SageMaker JumpStart Today we are excited to announce that the Llama Guard model is now available for […]

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator This post was written in […]

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas This is a guest post co-written with Babu Srinivasan […]

ISO 42001: A new foundational global standard to advance responsible AI Artificial intelligence (AI) is one of the most transformational […]

Use Amazon DocumentDB to build no-code machine learning solutions in Amazon SageMaker Canvas We are excited to announce the launch of Amazon […]

Streamlining ETL data processing at Talent.com with Amazon SageMaker This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and […]

Improve your Stable Diffusion prompts with Retrieval Augmented Generation Text-to-image generation is a rapidly growing field of artificial […]

Automate PDF pre-labeling for Amazon Comprehend Amazon Comprehend is a natural-language processing (NLP) service that provides pre-trained and […]

How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker This is a customer post jointly authored by ICL and AWS […]

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools Amazon SageMaker Studio offers a broad set of […]

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions Machine learning (ML) models do not operate in […]

Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 In this post, we showcase fine-tuning a Llama 2 model using a […]

Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe Meeting notes are a crucial part of collaboration, yet […]

Vodafone advances its machine learning skills with AWS DeepRacer and Accenture Vodafone is transitioning from a telecommunications company (telco) […]

Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium Large language models (or LLMs) have become a topic […]