Tag: DG
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Amazon SageMaker Data Wrangler for dimensionality reduction
In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually...
Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise
According to a PWC report, 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their...
Create SageMaker Pipelines for training, consuming and monitoring your batch use cases
Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained...
Improved ML model deployment using Amazon SageMaker Inference Recommender
Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in...
How to convert JPG to Word online?
Images are the norm while sharing information. But when you want to extract text from JPG images and convert them into Word files, there...
Amazon Comprehend document classifier adds layout support for higher accuracy
The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous...
Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time
Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even...
How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency
This is a guest post co-written with Fred Wu from Sportradar. Sportradar is the world’s leading sports technology company, at the intersection between sports,...
Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data
Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the...
Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart
Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the...
How RallyPoint and AWS are personalizing job recommendations to help military veterans and service providers transition back into civilian life using Amazon Personalize
This post was co-written with Dave Gowel, CEO of RallyPoint. In his own words, “RallyPoint is an online social and professional network for veterans,...
Deploy large models at high performance using FasterTransformer on Amazon SageMaker
Sparked by the release of large AI models like AlexaTM, GPT, OpenChatKit, BLOOM, GPT-J, GPT-NeoX, FLAN-T5, OPT, Stable Diffusion, and ControlNet, the popularity of...
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