AWS Machine Learning Blog

OCTOBER 5, 2023

For example, to use the RedPajama dataset, use the following command: wget [link] python nemo/scripts/nlp_language_modeling/preprocess_data_for_megatron.py 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 126

AWS Machine Learning Machine Learning Deep Learning 126

Towards AI

APRIL 19, 2024

Intelligent Medical Objects 👉Industry domain: AI, Health Tech, IT, NLP, Software, Analytics, Generative AI 👉Location: 3 offices 👉Year founded: 1994 👉Programming languages deployed: Angular, C#, SQL, Scikit, TensorFlow, Spark, GitHub, R, Python 👉Benefits: Flexible time off, family medical leave, pet insurance, (..)

AI 110

AI AI Artificial Intelligence Artificial Intelligence 110

ODSC - Open Data Science

JUNE 5, 2023

Be sure to check out his talk, “ Space Science with Python — Enabling Citizen Scientists ,” there! 2009, a paper by Postberg et al. Thankfully, as enthusiastic coders, we have THE major astronomy and space science tool to work on all these data, theories, and insights: Python ! Editor’s note: Dr.-Ing. was published in Nature.

Python 85

Python Machine Learning Machine Learning Data Science 85

Mlearning.ai

JULY 30, 2023

Identifying important features using Python Introduction Features are the foundation on which every machine-learning model is built. Different machine-learning paradigms use different terminologies for features such as annotations, attributes, auxiliary information, etc. Hence, it is easy to import and use in Python.

Python 52

Python Machine Learning Machine Learning Algorithm 52

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. On August 21, 2009, the Company filed a Form 10-Q for the quarter ended December 31, 2008.

ML 96

ML ML Deep Learning Deep Learning 96

AWS Machine Learning Blog

JANUARY 30, 2023

They’re available through the SageMaker Python SDK. Dask is an open-source parallel computing library that allows for distributed parallel processing of large datasets in Python. It’s designed to work with the existing Python and data science ecosystem such as NumPy and Pandas. 1 5329 5414 0.937 0.947 65.6 2 3175 3294 0.94

Algorithm 103

Algorithm Clustering Machine Learning Machine Learning 103

DagsHub

DECEMBER 23, 2024

  Overview of the types of active learning | Source : Settles, B. Active Learning Literature Survey Pool-Based Active Learning Overview Pool-based active learning is the most commonly used approach in practical applications.   Traditional Active Learning has the following characteristics.

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Clustering 52