Mastering Prompt Engineering with IBM and watsonx

Prompt engineering, a fusion of art and science, is the process of shaping input text entered by us as user to optimize the performance of a given large language model.

Foundation models, boasting billions of parameters and trained on vast datasets, serve various functions including text, code, or image generation, classification, and conversation. Large language models, a subset of these, specialize in text and code tasks. However, there isn’t a singular method to prompt them effectively; rather, there exist multiple approaches to elicit desired outcomes.

In the “Prompt Engineering for Everyone” course by IBM, you’ll delve into the fundamentals of prompt engineering. You will also familiarize yourself with the prompt lab tools offered by watsonx.

From monitoring token usage to striking a balance between intelligence and security, you’ll explore diverse exercises showcasing different techniques, controls, and adjustments to achieve your desired model outputs. By the end of this course, participants will possess a robust understanding of prompt engineering, coupled with practical skills essential for maximizing the performance of large language models.