2011 AWS Database 
Dataconomy
OCTOBER 19, 2023
Casio, a name synonymous with electronic excellence, found itself amid a cybersecurity storm when the company detected a database failure within its revered ClassPad education platform. However, it is important to note that Casio did not store credit card information within the compromised database, mitigating some of the potential damage.
AWS Machine Learning Blog
JUNE 18, 2024
On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.
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Hacker News
NOVEMBER 15, 2023
Patrick Lewis “We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers. “We Retrieval-augmented generation combines LLMs with embedding models and vector databases.
AWS Machine Learning Blog
DECEMBER 14, 2023
Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution. path_suffix='.parquet',
Console DevTools podcast
JULY 5, 2023
He began his career as a tech writer for Ars Technica and learned about databases while building a small retail PHP app. I think you can on top of AWS now. Kurt sheds light on the regions where Fly.io is most popular, why they’re adding GPUs, and the technology that makes it all work behind the scenes.
AWS Machine Learning Blog
APRIL 19, 2023
Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.
AWS Machine Learning Blog
MAY 2, 2023
There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.
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