Because AI understands human language, hackers can trick models using clever phrasing. Here's how developers build ...

The recent explosion in the number of generative AI systems and their growing sophistication has inevitably led to criminal interest. Threat actors are constantly working to employ AI processes to ...

In Part 1, we established why LLMs are vulnerable: the attention mechanism treats all input tokens equally, with no architectural separation between trusted instructions and untrusted user data. Now ...

If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...

Prompt injection attacks continue to present the most dangerous threat from large language models (LLMs), despite the relatively low number of recorded incidents relating to this vector, according to ...

How to decide what the model should handle, what your code should handle, and how to connect the two. A few years ago, the architecture of an AI application look like: send a prompt to a large ...

Effective prompts are key to using many artificial intelligence tools. The sample prompts in this article follow the “four Rs” framework. The last several years have seen a surge in artificial ...

Every Monday, you copy and paste the same meeting minutes summary prompt, manually format the resulting text, and post it to Slack. When you reach the third week of this task, have you ever thought, ...

This post was sponsored by Peec AI. The opinions expressed in this article are the sponsor’s own. Which prompts should I prioritize tracking for AI visibility? Does exact wording change which brands ...

Nolen began their writing career in 2019, with three years dedicated to editing the Creative section at MakeUseOf. Their expertise lies at the crossroads of technology and creativity, covering areas ...