AWS Machine Learning

How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost This blog post was co-authored, and includes an introduction, by […]

Analyze rodent infestation using Amazon SageMaker geospatial capabilities Rodents such as rats and mice are associated with a number of health risks […]

Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker Artificial intelligence (AI) has become an important and popular topic in […]

Enel automates large-scale power grid asset management and anomaly detection using Amazon SageMaker This is a guest post by Mario Namtao Shianti […]

Integrate Amazon SageMaker Model Cards with the model registry Amazon SageMaker Model Cards enable you to standardize how models are documented, […]

Use a generative AI foundation model for summarization and question answering using your own data Large language models (LLMs) can be used to […]

Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart Today, we are excited to announce that Llama 2 foundation models […]

Build an email spam detector using Amazon SageMaker Spam emails, also known as junk mail, are sent to a large number of users at once and often […]

Enhance Amazon Lex with LLMs and improve the FAQ experience using URL ingestion In today’s digital world, most consumers would rather find answers t […]

Enhance Amazon Lex with conversational FAQ features using LLMs Amazon Lex is a service that allows you to quickly and easily build conversational […]

Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering With cloud computing, as compute power and […]

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning Recent years have shown amazing […]

Access private repos using the @remote decorator for Amazon SageMaker training workloads As more and more customers are looking to put machine […]

Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications Amazon SageMaker is an end-to-end machine learning (ML) platform […]

Predict vehicle fleet failure probability using Amazon SageMaker Jumpstart Predictive maintenance is critical in automotive industries because it […]

Highlight text as it’s being spoken using Amazon Polly Amazon Polly is a service that turns text into lifelike speech. It enables the development of […]

Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS In computer vision (CV), adding tags to identify objects of […]

Retain original PDF formatting to view translated documents with Amazon Textract, Amazon Translate, and PDFBox Companies across various industries […]

Democratize computer vision defect detection for manufacturing quality using no-code machine learning with Amazon SageMaker Canvas Cost of poor […]

Interactively fine-tune Falcon-40B and other LLMs on Amazon SageMaker Studio notebooks using QLoRA Fine-tuning large language models (LLMs) allows […]