The Best Introduction to Prompt Engineering You’ll Ever Find (for free)
Machine learning algorithms learn by being fed large amounts of data and identifying patterns, helping them make predictions or decisions. Many-shot prompts involve providing numerous examples, while few-shot prompts offer only a few examples. Zero-shot prompts rely solely on pre-trained knowledge. Controlling language model output involves defining constraints such as desired length, format, syntax, and explicit exclusions. Iterative reasoning enhances prompt refinement. Roleplay can enhance language model efficacy by defining persona and flavor. Mastering prompt engineering enhances efficiency in procurement.