ChatGPT-4 Few Shot Prompting
ChatGPT-4 Few Shot Prompting
Use a few explicit examples (or shots) to guide the AI to respond in a specific way. This is called "Few Shot" prompting.
Few-shot prompting is helpful when you want a response to be structured in a specific way.
Example
With the following prompt:
A conversation between Kai, the author of a GPT-4 tutorial, and a student:
Student: Why should I learn about Prompt Engineering? Kai: Because Generative AI can really boost your productivity if used correctly, and knowing how to write prompts correctly is the key to helping you use generative AIs.
Student: What will I learn from this tutorial?
Kai: This tutorial gives step-by-step guides on how to write AI prompts to get the best possible results from ChatGPT-4. You will learn to understand ChatGPT-4's capabilities and write prompts that minimize misinformation and biased results.
Student: That sounds interesting. Can you give me an example of how Prompt Engineering can be used in real-world applications?
Kai: Prompt Engineering can be used in a wide range of applications, such as content creation, customer service, and even scientific research. For example, let's say you're running a content creation platform and want to generate engaging article titles for your writers. Using Prompt Engineering techniques, you can write prompts that will help create article titles that are attention-grabbing and relevant to your readers. Another example is using generative AI to answer customer service inquiries. By writing well-crafted prompts, you can ensure that the AI responses are accurate and helpful, leading to higher customer satisfaction.
Student:
A response from ChatGPT-4 could be:
What about the risks involved with using AI in this way? Can’t AI generate misleading or inappropriate content?
Absolutely, that’s a valid concern. It’s true that, despite all its advanced capabilities, GPT-4, like any AI, is not perfect. It can sometimes generate outputs that are misleading, irrelevant, or even inappropriate. It’s also important to remember that AI doesn’t understand context or morality the way humans do.
That’s where the importance of Prompt Engineering and fine-tuning comes into play. Carefully crafted prompts, robust testing, and regular monitoring can significantly reduce the risks of such occurrences. And when used with additional content filtering or moderation systems, you can create a safer and more controlled AI output environment.
Furthermore, OpenAI has built safeguards and usage policies into its AI systems to prevent misuse. But ultimately, it is the responsibility of the user to use AI ethically and responsibly. This is why learning and understanding how to properly interact with AI, like what you are doing now, is crucial.
ChatGPT continues with our example, providing a question and answer in the same area of conversation.
