AI Prompt Engineering

Communicating with AI is a two-way street. Cleverly worded prompts not only extract the best information from AI, but they also provide further training for the AI in some cases. Well-crafted prompts help AI models, over time, to curate better responses.

To quote IBM:

“Clever prompt engineers working in open-source environments are pushing generative AI to do incredible things not necessarily a part of their initial design scope and are producing some surprising real-world results. For example, researchers developed a new AI system that can translate language without being trained on a parallel text; engineers are embedding generative AI in games to engage human players in truly responsive storytelling and even to gain accurate new insights into the astronomical phenomena of black holes. Prompt engineering will become even more critical as generative AI systems grow in scope and complexity.”

But not all AI models are built the same, so it's important to know the best ways to interact with them based on their design and purpose. For example, since Google Bard has access to Google Search, it can incorporate the latest information in the results. But ChatGPT is the better tool for ingesting and summarizing text, as that was its primary design function.

Artificial Intelligence is here to stay. It's adoption is predicted to continue and accelerate. So now is the time for cybersecurity professionals, teachers, and students to start learning about AI. Consider this free course by the Cloud Security Alliance. It takes about an hour and a half to complete.

This self-paced course is called Introduction to Generative AI & Prompt Engineering. It emphasizes the wide-ranging applications of generative AI, highlighting its benefits, while also examining ethical considerations and its potential impact on our future.

The material is divided into four units:

• Basics of AI
• Large Language Models
• Prompt Engineering
• Prompt Troubleshooting.

Click here to register for FREE.