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India’s advisory on LLM usage causes consternation

CIO Business Intelligence

It also requires that LLMs that are unreliable or still under test only be made available in Indian Internet with explicit permission from the government, and only be deployed accompanied by a warning of their unreliability. Are there test cases they have to pass, or assurances given on level of testing and support?”

Testing 128
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How Wallapop improved performance of analytics workloads with Amazon Redshift Serverless and data sharing

AWS Big Data

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

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Leveraging MITRE ATT&CK: How Your Team Can Adopt This Essential Framework

CIO Business Intelligence

In fact, it has been available since 2013. The team was focused on using threat intelligence to harden their environment by improving security controls after every attack and making use of detection and response tools, perimeter security, cloud security, and other measures. That would be a tremendous boon for your security team, right?

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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Because ML models can react in very surprising ways to data they’ve never seen before, it’s safest to test all of your ML models with sensitivity analysis. [9] Residual analysis.

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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Researching and developing new drugs involves multiple steps called “Phases.”

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.