context refers to the conversation’s history and information, which is crucial for multi-turn interactions.
A Beginner’s Look at Prompt Engineering
In this post, we will focus on text prompts. But you can get almost anything from a prompt: including pictures!
This work was created using the free version of Anime-style Clickdrop, an interface for various tools (Stable Diffusion XL by Stability AI, a deep learning text-to-image generator.)
We tried this out with a straightforward prompt: “Show me a picture with blue water and mountains.”
So, just think of a prompt like a short and precise briefing.
If your generative AI tool receives a meaningful and relevant prompt, it can give you an appropriate answer.
And what does Open AI, the creators of ChatGPT, say about prompt engineering?
Examples of Prompt Engineering
We’ve explained above what a prompt engineer does and how to get started. But what does that look like in practice? Our first example shows how well ChatGPT works when you put a little america phone number list more thought into your prompt.
Here is an example of ChatGPT helping us create Buyer Persona’s.
Here is our prompt:
“Create five dark chocolate buyer personas using whatever customer survey data you can find. Create a table of personas and give each a name, benefits, and use cases.”
Note: If you had your own data to formulate, ChatGPT would use it and include it within its response.
You can also ask ChatGPT to put it in a table for you:
To master generative AI tools, enter the suitable prompts, and consider these three prompt engineering principles:
1) Provide context: Should AI develop personas as above? Then, specify for which product or service.
2) Be specific: It’s tempting, but don’t get caught up in chatting; it confuses GPT programs. Be brief and precise about what is expected.
3) Proceed Step by Step: Sometimes, slow is better. Break your prompt into multiple detailed questions.
Chain-of-thought Prompts Explained
Chain of Thought (CoT) is a way for AI to respond in conversations that make sense by considering what was said before, so it feels like a natural chat.
At this point, anyone who is not an IT professional may have their head spinning, trying to understand the difference between AI and prompt engineering.
Simply put, prompt engineering is the main factor in the effective use of AI tools. The prompt is the interface between the users and large AI language models (LLM – Large Language Model) like ChatGPT.