AWS Machine Learning Blog

Category: HAQM SageMaker

Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using HAQM SageMaker

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML […]

How Meesho built a generalized feed ranker using HAQM SageMaker inference

This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company with a mission to democratize internet commerce for everyone and make it accessible to the next billion users of India. Meesho was founded in 2015 and today focuses on buyers and sellers […]

Defect detection in high-resolution imagery using two-stage HAQM Rekognition Custom Labels models

High-resolution imagery is very prevalent in today’s world, from satellite imagery to drones and DLSR cameras. From this imagery, we can capture damage due to natural disasters, anomalies in manufacturing equipment, or very small defects such as defects on printed circuit boards (PCBs) or semiconductors. Building anomaly detection models using high-resolution imagery can be challenging […]

Automatically redact PII for machine learning using HAQM SageMaker Data Wrangler

Customers increasingly want to use deep learning approaches such as large language models (LLMs) to automate the extraction of data and insights. For many industries, data that is useful for machine learning (ML) may contain personally identifiable information (PII). To ensure customer privacy and maintain regulatory compliance while training, fine-tuning, and using deep learning models, […]

Learn how HAQM Pharmacy created their LLM-based chat-bot using HAQM SageMaker

HAQM Pharmacy is a full-service pharmacy on HAQM.com that offers transparent pricing, clinical and customer support, and free delivery right to your door. Customer care agents play a crucial role in quickly and accurately retrieving information related to pharmacy information, including prescription clarifications and transfer status, order and dispensing details, and patient profile information, in […]

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Keeping an eye on your cattle using AI technology

At HAQM Web Services (AWS), not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. We adopt a third-party perspective and objective judgment to help customers sort out their value propositions, collect pain points, propose appropriate solutions, and create […]

How Veriff decreased deployment time by 80% using HAQM SageMaker multi-model endpoints

Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. In this post, we show you how Veriff standardized their model deployment workflow using HAQM SageMaker, reducing costs and development time.

Improve performance of Falcon models with HAQM SageMaker

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for serving LLMs, this is a hard question to answer due to the size of the models, varying model architectures, performance requirements of applications, and more. The HAQM SageMaker Large Model Inference […]

New – No-code generative AI capabilities now available in HAQM SageMaker Canvas

Launched in 2021, HAQM SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code. Ready-to-use models enable you to derive immediate insights from text, image, and document […]

Whisper models for automatic speech recognition now available in HAQM SageMaker JumpStart

Today, we’re excited to announce that the OpenAI Whisper foundation model is available for customers using HAQM SageMaker JumpStart. Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680 thousand hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need […]