Beyond Basic Prompting Now that you have a basic understanding of prompts and how their outputs can vary based on the AI model, let’s take a look at some simple prompting structures in the next section.Simple Prompts → What is a prompt? Understanding Output Behavior Example Outputs Beyond...
4.WithAI(Artificial Intelligence) tools likeChatGPT, aprompt,prompting, orprompt engineeringdescribes knowing how to give an AI a request. See ourprompt engineeringpage for further information.
A prompt is input you send to a model in order for it to generate a response, in a process known as inference. For example, you could send the following prompt to a model. What is Avebury stone circle? When you send the prompt as a request to a model, the response is similar to ...
you can use the instruction, "Summarize this email in three bullets in concise language." Clear instructions communicate to the model what is expected based on the information presented in the context. Creating parameters and making your audience clear is an essential part of prompti...
Regardless of the AI platform -- whether ChatGPT, Microsoft Copilot,Google Gemini, Stable Diffusion or OpenAI'sDall-E-- effective AI prompting is essential for achieving desired outcomes. Here are some tips: Identify the goal.Before writing a prompt, identify the purpose and expected output. As...
Chain-of-Thought Prompting Chain-of-thought prompting is when you guide an AI platform through a process by giving it a series of sequential prompts that it can elaborate on further. This means you can ensure the platform provides the right information in the right order. In this example, I...
Zero-shot prompting. This technique involves providing the model with a task it hasn't seen during its training. It tests the model's ability to generalize and produce relevant outputs without relying on prior examples. Few-shot prompting/in-context learning. Here, the model is given a few ...
Prompt chaining is a technique used when working with generative artificial intelligence (generative AI) models in which the output from one prompt is used as input for the next. This method is a form ofprompt engineering, which is the practice of improving how questions and problems are posed...
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Zero-shot prompting.An LLM is given a task that doesn't require specific examples in the input. The user relies on the LLM's vast machine learning training data to produce an output. One example would be asking what an obscure word or term means. ...