AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet. He is also a skilled origamist.

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ML ML Data Scientist AWS 102

IBM Journey to AI blog

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

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Machine Learning Machine Learning ML ML 129

AWS Machine Learning Blog

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. The processed videos are sent to AWS services like Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend to generate metadata at shot level and video level.

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AWS Machine Learning Machine Learning AI 139

AWS Machine Learning Blog

JULY 13, 2023

Amazon SageMaker distributed training jobs enable you with one click (or one API call) to set up a distributed compute cluster, train a model, save the result to Amazon Simple Storage Service (Amazon S3), and shut down the cluster when complete. Finally, launching clusters can introduce operational overhead due to longer starting time.

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Clustering Algorithm Deep Learning Deep Learning 98

Cambridge Intelligence

OCTOBER 19, 2023

.” First release: 2017 Format: An open-source, hosted, native, property and RDF graph database Top 3 advantages: Built for cloud – Neptune is fully managed by AWS, meaning you can leave infrastructure challenges, updates, backups and other admin tasks to them.

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Database Azure Analytics Analytics 59

DagsHub

APRIL 7, 2024

The project was created in 2014 by Airbnb and has been developed by the Apache Software Foundation since 2016. Cloud-agnostic and can run on any Kubernetes cluster. Integration: It can work alongside other workflow orchestration tools (Airflow cluster or AWS SageMaker Pipelines, etc.)

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Machine Learning Machine Learning ML ML 59

DagsHub

OCTOBER 23, 2024

Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. Our model achieves 28.4 after training for 3.5

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Machine Learning Machine Learning Data Lakes AI 52

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

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Data Science Machine Learning Machine Learning Natural Language Processing 52

Hacker News

JUNE 26, 2025

reply dataviz1000 8 hours ago | prev | next [–] Luis von Ahn spoke in the early 2010s—probably around 2014—at The LAB in Wynwood, Miami. The problem is data, we need a large corpus of data labeled how exactly the audio sample is mispronouncing the word, so the model can cluster those. I expected it to be awful.

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AI AI AWS Clustering 69

Hacker News

JULY 1, 2025

I've created docker containers from scratch and set up AWS Fargate and all the related services to run them and connect them to a public IP address. I have about 3 YoE training PyTorch models on HPC clusters and 1 YoE optimizing PyTorch models, including with custom CUDA kernels.

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Python AWS SQL ML 63

AWS Machine Learning Blog

MAY 24, 2023

Batch transform is cost-effective because unlike real-time hosted endpoints that have persistent hardware, batch transform clusters are torn down when the job is complete and therefore the hardware is only used for the duration of the batch job. Rachna Chadha is a Principal Solutions Architect AI/ML in Strategic Accounts at AWS.

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Machine Learning Machine Learning Natural Language Processing ML 98