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Harnessing AI Evaluators in Spring

In my journey with Spring, I’ve discovered the power of combining AI with testing frameworks. Here’s a brief dive into AI Evaluators. 🌟

AI Evaluators help in assessing the performance of Machine Learning models by providing reliable evaluation metrics. When integrated with Spring, it allows for more dynamic and intelligent testing patterns.

Key highlights:

- Enhanced Testing: Leverage AI to automate the testing process.
- Custom Metrics: Set up tailored evaluation metrics for specific use cases.
- Integration: Seamlessly blend with existing Spring applications.

Here's a simple example of setting up an AI evaluator:

AIModelEvaluator evaluator = new AIModelEvaluator();
evaluator.addMetric(new AccuracyMetric());
evaluator.evaluate(model, testData);


Incorporating AI evaluators not only improves accuracy but also accelerates the testing process. As we embrace AI, let’s leverage it for smarter software engineering! 💡

Feel free to share your thoughts or experiences with AI in testing!



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Harnessing AI Evaluators in Spring

In my journey with Spring, I’ve discovered the power of combining AI with testing frameworks. Here’s a brief dive into AI Evaluators. 🌟

AI Evaluators help in assessing the performance of Machine Learning models by providing reliable evaluation metrics. When integrated with Spring, it allows for more dynamic and intelligent testing patterns.

Key highlights:

- Enhanced Testing: Leverage AI to automate the testing process.
- Custom Metrics: Set up tailored evaluation metrics for specific use cases.
- Integration: Seamlessly blend with existing Spring applications.

Here's a simple example of setting up an AI evaluator:

AIModelEvaluator evaluator = new AIModelEvaluator();
evaluator.addMetric(new AccuracyMetric());
evaluator.evaluate(model, testData);


Incorporating AI evaluators not only improves accuracy but also accelerates the testing process. As we embrace AI, let’s leverage it for smarter software engineering! 💡

Feel free to share your thoughts or experiences with AI in testing!

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A spike in interest rates since the start of the year has accelerated a rotation out of high-growth technology stocks and into value stocks poised to benefit from a reopening of the economy. The Nasdaq has fallen more than 10% over the past month as the Dow has soared to record highs, with a spike in the 10-year US Treasury yield acting as the main catalyst. It recently surged to a cycle high of more than 1.60% after starting the year below 1%. But according to Jim Paulsen, the Leuthold Group's chief investment strategist, rising interest rates do not represent a long-term threat to the stock market. Paulsen expects the 10-year yield to cross 2% by the end of the year. A spike in interest rates and its impact on the stock market depends on the economic backdrop, according to Paulsen. Rising interest rates amid a strengthening economy "may prove no challenge at all for stocks," Paulsen said.

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“To the extent it is used I fear it’s often for illicit finance. It’s an extremely inefficient way of conducting transactions, and the amount of energy that’s consumed in processing those transactions is staggering,” the former Fed chairwoman said. Yellen’s comments have been cited as a reason for bitcoin’s recent losses. However, Yellen’s assessment of bitcoin as a inefficient medium of exchange is an important point and one that has already been raised in the past by bitcoin bulls. Using a volatile asset in exchange for goods and services makes little sense if the asset can tumble 10% in a day, or surge 80% over the course of a two months as bitcoin has done in 2021, critics argue. To put a finer point on it, over the past 12 months bitcoin has registered 8 corrections, defined as a decline from a recent peak of at least 10% but not more than 20%, and two bear markets, which are defined as falls of 20% or more, according to Dow Jones Market Data.

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