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.

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 ...

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.

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 ...

Salesforce. An example of generative AI creating software code through a user prompt. In this case, Salesforce’s Einstein chatbot is enabled through the use of OpenAI’s GPT-3.5 large language ...

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.