AWS Machine Learning Blog

DECEMBER 12, 2023

Training steps To run the training, we use SLURM managed multi-node Amazon Elastic Compute Cloud ( Amazon EC2 ) Trn1 cluster, with each node containing a trn1.32xl instance. Next, we also evaluate the loss trajectory of the model training on AWS Trainium and compare it with the corresponding run on a P4d (Nvidia A100 GPU cores) cluster.

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DrivenData Labs

DECEMBER 10, 2023

McLarney, Digital Transformation Lead for Artificial Intelligence and Machine Learning, NASA Background ¶ Information overload is real. or GPT-4 arXiv, OpenAlex, CrossRef, NTRS lgarma Topic clustering and visualization, paper recommendation, saved research collections, keyword extraction GPT-3.5 bge-small-en-v1.5

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. You can use artifacts to manage configuration, so everything from hyperparameters to cluster sizing can be managed in a single file, tracked alongside the results.

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ODSC - Open Data Science

FEBRUARY 17, 2023

TensorFlow is desired for its flexibility for ML and neural networks, PyTorch for its ease of use and innate design for NLP, and scikit-learn for classification and clustering. BERT is still very popular over the past few years and even though the last update from Google was in late 2019 it is still widely deployed.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. The Illustrated Transformer.” Selvaraju, Ramprasaath R.,

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Smart Data Collective

SEPTEMBER 17, 2019

AI uses cluster analytics and predictive analytics to audit pages and identify search terms that will be popular in the future. AI is Central to Local SEO in 2019. How AI is Central to Modern SEO. Search Engine Journal has discussed the role of AI in modern SEO. AI helps leverage customer reviews. AI predicts customer needs.

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Mlearning.ai

APRIL 16, 2023

Harnessing the Power of fine tuned Foundation Models for adding Generative AI capabilities to your application The field of artificial intelligence (AI) has been making waves across various industries, and customers are rushing to incorporate Generative AI capabilities in their application.

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ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. And what about the Thor and Roxie clusters? A Roxie server cluster is optimized to handle data queries in real time.

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Flipboard

JULY 10, 2023

Figure 7: The topology of Sparse Autoencoder (source: Shi, Ji, Zhang, and Miao, “Boosting sparsity-induced autoencoder: A novel sparse feature ensemble learning for image classification,” International Journal of Advanced Robotic Systems , 2019 ). My mission is to change education and how complex Artificial Intelligence topics are taught.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Nobody else offers this same combination of choice of the best ML chips, super-fast networking, virtualization, and hyper-scale clusters. Customers are telling us that Neuron has made it easy for them to switch their existing model training and inference pipelines to Trainium and Inferentia with just a few lines of code.

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AWS Machine Learning Blog

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

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Flipboard

APRIL 13, 2023

To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. Second, customers want integration into applications to be seamless, without having to manage huge clusters of infrastructure or incur large costs. Today’s FMs, such as the large language models (LLMs) GPT3.5

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Flipboard

MAY 29, 2025

Points clustered closely on the y-axis indicate similar ground conditions; sudden and persistent discontinuities in the embedding values signal significant change. The following image is a timeseries plot of geospatial embeddings (first principal component) for a single 256256 pixel chip. Cloudy images and major outliers have been removed.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

This dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. To train this model, we need a labeled ground truth subset of the Low Altitude Disaster Imagery (LADI) dataset. Given the highly parallel needs, we chose Lambda to process our images.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

2019| Used| 32675 |40990.00| NA| 1686627154| | 5| Acura TLX A-Spec| 2023| New| NA|50195.00|50195| Spark provides distributed processing on clusters to handle data that is too big for a single machine. 50195| 1686627154| | 6| Acura TLX A-Spec| 2023| New| NA|50195.00|50195| 2023| New| NA|36895.00|36895|

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Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. Artificial intelligence in law: The state of play 2016. But exactly what is NLP , and how can it facilitate legal discovery?

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Flipboard

OCTOBER 16, 2023

Launched in 2016, the company revealed in 2019 that it had created flexible “threads” that can be implanted into a brain , along with a sewing-machine-like robot to do the implanting. That ambition, in Musk’s own words , is “to achieve a symbiosis with artificial intelligence.” What is Neuralink for?

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Hacker News

JULY 1, 2025

But if your issue is suffered by many but you don't all cluster together in latitude and longitude then that issue has less weight. My last startup, Bayes, went through YC in 2019. That innovation kickstarted our journey in 2019 and powers the blazing-fast online IDE used by over a million developers every month.

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Data Science Dojo

DECEMBER 31, 2023

Following earlier collaborations in 2019 and 2021, this agreement focused on boosting AI supercomputing capabilities and research. Google Cloud was cemented as Anthropic’s preferred provider for computational resources, and they committed to building large-scale TPU and GPU clusters for Anthropic. Read more here 3.

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Hacker News

JUNE 15, 2025

Glushkov Institute of Cybernetics of the National Academy of Sciences (NAS) of Ukraine, working on early artificial intelligence systems and cybernetic theory. According to associates, his decision was directly influenced by mapping UFO sighting clusters and abduction reports across the United States.

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