Tag: AI/ML

DataOps Considerations: Building the Foundation for Generative AI

Building a solid DataOps foundation is crucial for organizations looking to leverage the power of generative AI. By addressing the key challenges in data collection and preparation, adopting automated pipelines, prioritizing governance and security, and fostering collaboration, organizations can establish an efficient and effective DataOps framework for generative AI.

AI Art Platforms: Pros and Cons

The evolution of AI art platforms is a testament to the limitless possibilities that lie at the intersection of technology and creativity.

Practical Application of a Convolutional Neural Network (CNN)

We had a case that required the classification of a large number of images into several distinct categories. Manual classification would be a monumental and prohibitively expensive process, however, that was the industry’s current state of the art. Image or item recognition is an oft-used example of a good application of machine learning so we […]

Concerns Rise as Fake AI-Generated Image of Pentagon Explosion Circulates on Social Media

An AI-generated image of an explosion near the Pentagon went viral on social media causing concerns about the spread of misinformation. The US Department of Defense confirmed the image to be fake, but it reportedly caused a brief dip in the stock market. This incident highlights the rise of AI-generated images and the verification challenges faced by Twitter, particularly since the introduction of its subscription service.

The Threat of Indirect Prompt-Injection Attacks on Generative AI Systems

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Generative AI systems are being used in diverse fields, but they are vulnerable to indirect prompt-injection attacks. These attacks can manipulate the inputs and outputs of these systems, leading to harmful consequences. Therefore, the security of generative AI systems needs to be reinforced to prevent such attacks.