Remove 2015 Remove Big Data Remove Clustering
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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning Blog

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. His research interest is in systems, high-performance computing, and big data analytics. Youngsuk Park is a Sr.

AWS 129
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Top 6 Kubernetes use cases

IBM Journey to AI blog

Nodes run the pods and are usually grouped in a Kubernetes cluster, abstracting the underlying physical hardware resources. In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning. He currently is working on Generative AI for data integration.

AI 92
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What is Snowpark — and Why Does it Matter? A phData Perspective

phData

Most importantly, Snowpark helps developers leverage Snowflake’s computing power to ship their code to the data rather than exporting data to run in other environments where big data is a second-class citizen. phData has been working in data engineering since the inception of the company back in 2015.

SQL 98
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Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 157
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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. of the unlabeled data.