Prompt injection happens when a user feeds a model with a particular input intended to force the LLM to ignore its prior instructions and do something it's not supposed to do.

Prompt injection and supply chain vulnerabilities remain the main LLM vulnerabilities but as the technology evolves new risks come to light including system prompt leakage and misinformation.

Learn how to solve NYT Strands hint puzzle using LLM. If you're stuck or just want to solve NYT Strands faster, LLMs can help ...

Claude, LLaMA, and Grok has intensified concerns around model alignment, toxicity, and data privacy. While many commercial ...

While fine-tuning involves modifying the underlying foundational LLM, prompt architecting does not. Fine-tuning is a substantial endeavor that entails retraining a segment of an LLM with a large ...

The rise of advanced AI models means that while prompt engineering, as we once knew it, is fading, it’s being replaced by something more technologically elegant—prompt minimalism.

Requirement-Oriented Prompt Engineering (ROPE) helps users craft precise prompts for complex tasks, improving the quality of LLM outputs and driving more efficient human-AI collaborations. Study ...

You might think that the input side would be simple, but you’d be wrong: In addition to the input variables (prompt), an LLM call uses a template and often auxiliary functions; for example ...

Adobe, which tested prompt caching for some of its generative AI applications on Bedrock, saw a 72% reduction in response time. The other major new feature is intelligent prompt routing for Bedrock.