2020 AWS Data Pipeline 
AWS Machine Learning Blog
FEBRUARY 23, 2023
For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines. In a later post, we will do a deep dive into the DNNs used by ADAS systems.
NOVEMBER 24, 2023
In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.
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AWS Machine Learning Blog
APRIL 5, 2024
Solution workflow In this section, we discuss how the different components work together, from data acquisition to spatial modeling and forecasting, serving as the core of the UHI solution. Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020.
AWS Machine Learning Blog
SEPTEMBER 11, 2024
In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.
AWS Machine Learning Blog
DECEMBER 6, 2023
Second, the ability of these models to generate SQL queries from natural language has been proven for years, as seen in the 2020 release of Amazon QuickSight Q. Deploy the solution To install this solution in your AWS account, complete the following steps: Clone the repository on GitHub. Run npm install to install the dependencies.
Hacker News
JUNE 29, 2023
Harnessing that customer data and getting it to the marketing and analytics tools that require it has always been a challenge….until Freshpaint is a Customer Data Platform that powers the entire customer data pipeline and integrates all your tools. We started as part of Y Combinator’s S19 cohort.
IBM Journey to AI blog
AUGUST 12, 2024
Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.
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