AWS Machine Learning

How Forethought saves over 66% in costs for generative AI models using Amazon SageMaker This post is co-written with Jad Chamoun, Director of […]

Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library GPT-J is an open-source 6-billion-parameter model […]

Build custom chatbot applications using OpenChatkit models on Amazon SageMaker Open-source large language models (LLMs) have become popular, […]

Fast-track graph ML with GraphStorm: A new way to solve problems on enterprise-scale graphs We are excited to announce the open-source release of […]

Host ML models on Amazon SageMaker using Triton: ONNX Models ONNX (Open Neural Network Exchange) is an open-source standard for representing deep […]

Introducing popularity tuning for Similar-Items in Amazon Personalize Amazon Personalize now enables popularity tuning for its Similar-Items recipe […]

Exploring Generative AI in conversational experiences: An Introduction with Amazon Lex, Langchain, and SageMaker Jumpstart Customers expect quick and […]

Get started with the open-source Amazon SageMaker Distribution Data scientists need a consistent and reproducible environment for machine learning […]

Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker This blog post is co-written with […]

Announcing enhanced table extractions with Amazon Textract Amazon Textract is a machine learning (ML) service that automatically extracts text, […]

Expedite the Amazon Lex chatbot development lifecycle with Test Workbench Amazon Lex is excited to announce Test Workbench, a new bot testing […]

Retrain ML models and automate batch predictions in Amazon SageMaker Canvas using updated datasets You can now retrain machine learning (ML) models […]

Accelerate PyTorch with DeepSpeed to train large language models with Intel Habana Gaudi-based DL1 EC2 instances Training large language models […]

Build machine learning-ready datasets from the Amazon SageMaker offline Feature Store using the Amazon SageMaker Python SDK Amazon SageMaker Feature […]

Arrange your transcripts into paragraphs with Amazon Transcribe Amazon Transcribe is a speech recognition service that generates transcripts from […]

Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 PyTorch is a machine learning (ML) framework that is widely used by AWS customers […]

Announcing the launch of new Hugging Face LLM Inference containers on Amazon SageMaker This post is co-written with Philipp Schmid and Jeff Boudier […]

Train a Large Language Model on a single Amazon SageMaker GPU with Hugging Face and LoRA This post is co-written with Philipp Schmid from Hugging […]

Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency Amazon SageMaker […]

Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation Data is the foundation for […]