Prompt chaining is a technique used when working withgenerative AImodels in which the output from one prompt is used as input for the next. This method is a form ofprompt engineering, or the practice of eliciting better output from pretrained generative AI models by improving how questions are ...
Prompt injection is a type of attack where malicious input is inserted into an AI system's prompt, causing it to generate unintended and potentially harmful responses.
Prompt injection vulnerabilities are a major concern for AI security researchers because no one has found a foolproof way to address them. Prompt injections take advantage of a core feature of generativeartificial intelligencesystems: the ability to respond to users' natural-language instructions. Reliab...
#1: Direct Prompt Injection This involves direct interaction with the model, and is one of the top GenAI threats today. In the early days of generative AI, almost all malicious activity was achieved via direct injection. One classic example was jailbreaking the model to give illegal advice b...
Here is an example of the value of specificity in prompt engineering. We asked Lilli, McKinsey’s proprietary gen AI tool, to help summarize a report. We gave the tool two prompts, with specific requests for different kinds of information. Take a look at the different outputs Lilli provided...
Prompt engineering also plays a role in identifying and mitigating various types of prompt injection attacks. These kinds of attacks are a modern variant ofStructured Query Language injectionattacks in which malicious actors or curious experimenters try to break the logic of generative AI services, suc...
What Is Prompt Engineering? Prompt engineering refers to creating precise and effective prompts to get context-driven AI outputs from large language models (LLMs). It requires expertise in natural language processing and LLM capabilities. Prompt engineers have to frame questions and statements that are...
What is prompt-tuning? Prompt-tuning is an efficient, low-cost way of adapting an AI foundation model to new downstream tasks without retraining the model and updating its weights.
Howan AI model responds to a prompt depends on a variety of factors, including: How it was trained What it was trained on What parameters it was trained with What prompt was provided We won’t go into detail about how an AI model is trained in this guide, but think of it this way:...
It's not surprising, then, that prompt engineering has emerged as a hot job in generative AI, with some organizations offering lucrative salaries of up to $335,000 to attract top-tier candidates. But what even is this job? Here, I'll cover everything you need to know about prompt engi...