NYU Center for Data Science

JULY 18, 2023

And how can we best use insights from natural intelligence to develop new, more powerful machine intelligence technologies that more fruitfully interact with us?” The group works on machine learning in a broad range of applications, predominately in computer perception, natural language understanding, robotics, and healthcare.

Data Science 81

Data Science Machine Learning Machine Learning Natural Language Processing 81

Dataconomy

JANUARY 24, 2024

The company is renowned for its deep understanding of machine learning and natural language processing technologies, providing practical AI solutions tailored to businesses’ unique needs. Their team of AI experts excels in creating algorithms for deep learning, predictive analytics, and automation.

AI 113

AI AI Predictive Analytics Machine Learning 113

AWS Machine Learning Blog

JANUARY 30, 2023

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

Algorithm 97

Algorithm Clustering Machine Learning Machine Learning 97

AWS Machine Learning Blog

OCTOBER 5, 2023

Xin Huang is a Senior Applied Scientist for Amazon SageMaker JumpStart and Amazon SageMaker built-in algorithms. He focuses on developing scalable machine learning algorithms. He was a recipient of the NSF Faculty Early Career Development Award in 2009. He founded StylingAI Inc.,

AWS 122

AWS Machine Learning Machine Learning Deep Learning 122

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 77

ML ML Deep Learning Deep Learning 77

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 52

ML ML Deep Learning Deep Learning 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. Fine-tuning technique Language models such as Llama are more than 10 GB or even 100 GB in size. Default is 5.

ML 122

ML ML Machine Learning Machine Learning 122