There’s always the same story: Large Language Models (LLMs) are able to summarize a thousand pages in seconds, yet they often hallucinate and confidently state falsehoods. Despite these issues, it remains an incredibly effective tool for solving specific tasks. To use it reliably in a business environment, we first need to understand the "why" behind these errors. At its core, an LLM is exactly what the name implies: a system trained to guess the next word in a sequence. As

The illusion of AI security is often cracked to smithereens by a mere couple of lines of text. In different shapes or forms, on the very edges of an external PDF-file or via a white-colored text, the true "silent killer" for the enterprise awaits. No wonder that the global cybersecurity alarm has already been ringed. Among the OWASP top 10 threats for LLMs, prompt injection is ranked #1. It is being taken advantage of as there is no way to know if an end developer means some

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