Eugene Yan

JUNE 21, 2025

Loong evaluates a model’s ability to locate, compare, cluster, and reason on evidence spread across multiple documents, typically ranging from 10,000 to over 250,000 tokens. Clustering : Aggregating and grouping relevant information from multiple sources based on specific criteria. © Eugene Yan 2015 - 2025 • Feedback • RSS

Clustering 268

Clustering Natural Language Processing AI AI 268

Hacker News

JULY 19, 2025

An ordering system has been proposed using this beginning and examples from both American Sign Language and Brazilian Sign Language (LIBRAS). [ This system allows for internal ordering by features including handshape, orientation, speed, location, and other clustered features not found in spoken dictionaries. ScriptSource.

Natural Language Processing 88

Natural Language Processing Machine Learning Machine Learning Clustering 88

Google Research AI blog

MARCH 7, 2023

books, magazines, newspapers, forms, street signs, restaurant menus) so that they can be indexed, searched, translated, and further processed by state-of-the-art natural language processing techniques. Middle: Illustration of line clustering. Right: Illustration paragraph clustering. HierText identifies 103.8

Clustering 102

Clustering Natural Language Processing Deep Learning Deep Learning 102

IBM Journey to AI blog

NOVEMBER 13, 2023

Nodes run the pods and are usually grouped in a Kubernetes cluster, abstracting the underlying physical hardware resources. Kubernetes’s declarative, API -driven infrastructure has helped free up DevOps and other teams from manually driven processes so they can work more independently and efficiently to achieve their goals.

Machine Learning 129

Machine Learning Machine Learning ML ML 129

AWS Machine Learning Blog

OCTOBER 5, 2023

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. From 2015–2018, he worked as a program director at the US NSF in charge of its big data program. Youngsuk Park is a Sr.

AWS 126

AWS Machine Learning Machine Learning Deep Learning 126

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2015; Huang et al., 2019) or by using input pre-processing techniques to remove adversarial perturbations (Xie et al., 2012; Otsu, 1979; Long et al.,

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 97

ML ML Deep Learning Deep Learning 97