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IBM watsonx.ai: Open source, pre-trained foundation models make AI and automation easier than ever before

IBM Big Data Hub

This is often a very cumbersome exercise that takes significant amount of time to field an AI solution that yields business value. Starting from this foundation model, you can start solving automation problems easily with AI and using very little data—in some cases, called few-shot learning, just a few examples.

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Application modernization overview

IBM Big Data Hub

Many are addressing this via building accelerators that could be customized for enterprise consumption that helps accelerate specific areas of modernization and one such example from IBM is IBM Consulting Cloud Accelerators. We will explore key areas of acceleration with an example in this article.

Cloud 103
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GDPR Compliance Obligations: The relationship between Data Controllers and Third-Party Processors

AIIM

For example, under GDPR data subjects and/or regulators may now pursue direct remedies against data processors in the event of infringement of obligations, whereas such remedies did not exist under the prior data privacy regulation. Want more information?

GDPR 83
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Beginning Fuzz Cycle Automation: Improving Testing And Fuzz Development With Coverage Analysis

ForAllSecure

This time we’ll take a look at how to write better tests in the form of harness programs (also known as fuzz drivers, programs written to exercise specific parts of the code) that we will use for fuzz testing. If we want to improve our confidence, we can add steps to exercise more of the code. Watch EP 02 See TV Guide.

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What is Property-based Testing?

ForAllSecure

Example-based Testing. This Go code was inspired by a test in guava, google's core library for Java. This test is an example of what we call example-based testing, the most common way to write unit tests. You could probably think of many more examples, some of which might explore the function in somewhat different ways.

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What is Property-based Testing?

ForAllSecure

Example-based Testing. This Go code was inspired by a test in guava, google's core library for Java. This test is an example of what we call example-based testing, the most common way to write unit tests. You could probably think of many more examples, some of which might explore the function in somewhat different ways.

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Beginning Fuzz Cycle Automation: Improving Testing And Fuzz Development With Coverage Analysis

ForAllSecure

This time we’ll take a look at how to write better tests in the form of harness programs (also known as fuzz drivers, programs written to exercise specific parts of the code) that we will use for fuzz testing. If we want to improve our confidence, we can add steps to exercise more of the code. Return to TinyXML2.