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Machine Learning

Get the latest machine learning algorithms and techniques

Artificial Intelligence | Machine Learning

Mary OsborneAugust 6, 2024 0

Toxicity, bias, and bad actors: three things to think about when using LLMs

When using LLMs, managing toxicity, bias, and bad actors is critical for trustworthy outcomes. Let’s explore what organizations should be thinking about when addressing these important areas.

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Data Visualization | Machine Learning | Work & Life at SAS

Figure 3: A huge correlation matrix I printed in Python to detect collinearity in the data (when two variables explain the same thing, rendering one of them redundant!). Darker squares mean two variables are highly correlated.

Ava KlissourasJuly 31, 2024 0

Integrating SAS and Python: An intern's journey of growth

Learn how an intern integrated SAS Viya® and open-source code (Python) into a Machine Learning project to combine their strengths within the context of predictive modeling, and to show off the variety of ways this integration can be accomplished.

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Analytics | Machine Learning

Rick WicklinJuly 31, 2024 0

Fit, simulate, fit: How models can collapse after generations of recursive fitting

An article published in Nature has the intriguing title, "AI models collapse when trained on recursively generated data." (Shumailov, et al., 2024). The article is quite readable, but I also recommend a less technical overview of the result: "AI models fed AI-generated data quickly spew nonsense" (Gibney, 2024). The Gibney

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