Example of Directional-stimulus Prompting
Posted: Sun Feb 02, 2025 4:02 am
This concept is used to train LLMs. The instructions you give the LLM are called “directional stimuli.” These act like signposts or clues for the Large Language Model . They help you guide the LLM in the desired direction when processing requests.
These cues may include keywords that should appear in the Large Language Model's responses. The goal of directional-stimulus prompting is to improve the performance of LLMs by giving these models clear and customized instructions for their responses.
A company uses directional stimulus prompts to train cambodia number dataset a large language model that answers customer queries in a customer support chatbot.
The directional stimulus prompt could be to give the model clear instructions on how to respond to complaints or refund requests to ensure that responses are helpful and customer-focused.
Generated Knowledge Prompting
Generated Knowledge Prompting in ChatGPT 4
Leverage the ability of AI models to solve specific tasks and generate knowledge .
By providing examples and guiding the AI on a specific problem, the AI can generate knowledge that can then be used to solve the specific task.
Generated Knowledge Prompting can be combined with external sources such as APIs or databases to further enhance the AI’s problem-solving capabilities.
Example of Generated Knowledge Prompting
Prompt: Develop a plan to improve customer satisfaction for an e-commerce company, taking into account current online shopping trends, customer feedback, and industry best practices.
Least-to-Most Prompting
Least to Most Prompting in ChatGPT 4
This technique involves breaking down a complex problem into a series of simpler subproblems , which are then solved step by step.
Least-to-most prompting helps LLMs solve complex problems more efficiently, especially for problems that go beyond the examples in the training data.
Example of Least-to-Most Prompting
Prompt: Start by identifying the most fundamental challenges facing a small startup.
Then gradually developed more complex strategies to scale the company, including marketing, financing and product development.
Maieutic Prompting
Maieutic Prompting in ChatGPT 4
This method allows you to derive a correct answer to your question from unreliable language model generations. Maieutic Prompting uses reasoning to increase the accuracy of the generated answers .
With this technique, you can ensure that the LLM of your choice consistently gives a given answer and thus does not change its understanding of a matter.
Example of Maieutic Prompting
These cues may include keywords that should appear in the Large Language Model's responses. The goal of directional-stimulus prompting is to improve the performance of LLMs by giving these models clear and customized instructions for their responses.
A company uses directional stimulus prompts to train cambodia number dataset a large language model that answers customer queries in a customer support chatbot.
The directional stimulus prompt could be to give the model clear instructions on how to respond to complaints or refund requests to ensure that responses are helpful and customer-focused.
Generated Knowledge Prompting
Generated Knowledge Prompting in ChatGPT 4
Leverage the ability of AI models to solve specific tasks and generate knowledge .
By providing examples and guiding the AI on a specific problem, the AI can generate knowledge that can then be used to solve the specific task.
Generated Knowledge Prompting can be combined with external sources such as APIs or databases to further enhance the AI’s problem-solving capabilities.
Example of Generated Knowledge Prompting
Prompt: Develop a plan to improve customer satisfaction for an e-commerce company, taking into account current online shopping trends, customer feedback, and industry best practices.
Least-to-Most Prompting
Least to Most Prompting in ChatGPT 4
This technique involves breaking down a complex problem into a series of simpler subproblems , which are then solved step by step.
Least-to-most prompting helps LLMs solve complex problems more efficiently, especially for problems that go beyond the examples in the training data.
Example of Least-to-Most Prompting
Prompt: Start by identifying the most fundamental challenges facing a small startup.
Then gradually developed more complex strategies to scale the company, including marketing, financing and product development.
Maieutic Prompting
Maieutic Prompting in ChatGPT 4
This method allows you to derive a correct answer to your question from unreliable language model generations. Maieutic Prompting uses reasoning to increase the accuracy of the generated answers .
With this technique, you can ensure that the LLM of your choice consistently gives a given answer and thus does not change its understanding of a matter.
Example of Maieutic Prompting