Prompt Engineering
An Introduction to Designing Inputs for Machine Learning Models
One example of prompt engineering is the website DALL·E, which uses machine learning to generate images from textual prompts. Let’s look at two prompts that can be used to generate an image of a fish riding a horse:
Simple prompt: “Fish riding a horse.”
More detailed prompt: “Please generate an image of a fish riding a brown horse with a saddle on a green grassy hill in the background.”
Types of Promptings:
- Prompt by Example
- Direct Prompt
Prompt by example is a type of prompt engineering where the initial input is provided in the form of an example or demonstration. This approach involves showing the machine learning model what the desired output looks like, rather than describing it in words.
Direct Prompt is a type of prompt engineering where we can ask the question directly without giving any examples.
If you’re new to prompt engineering and don’t know where to start, don’t worry! It’s okay to ask for help and guidance. You can ask someone to explain the basics to you in simple terms, like you would to a 10-year-old child. By taking things step by step and asking questions as you go, you can develop your skills in prompt engineering and create more effective inputs for machine learning models.
In conclusion, prompt engineering is an essential skill for anyone working in the field of artificial intelligence and machine learning. By designing effective prompts, you can help machine learning models generate more accurate and relevant responses, leading to better results and more impactful applications.