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 117

AWS Machine Learning Machine Learning Deep Learning 117

DrivenData Labs

FEBRUARY 3, 2025

His research focuses on applying natural language processing techniques to extract information from unstructured clinical and medical texts, especially in low-resource settings. I love participating in various competitions involving deep learning, especially tasks involving natural language processing or LLMs.

Machine Learning 130

Machine Learning Machine Learning Data Science Natural Language Processing 130

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

Pickl AI

AUGUST 22, 2024

In industry, it powers applications in computer vision, natural language processing, and reinforcement learning. This allows users to change the network architecture on-the-fly, which is particularly useful for tasks that require variable input sizes, such as natural language processing and reinforcement learning.

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 75

ML ML Deep Learning Deep Learning 75

Explosion

FEBRUARY 18, 2015

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). The only problem is that the list really contains two clusters of words: one associated with the legal meaning of “pleaded”, and one for the more general sense.

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52