Also known as: Zero Shot Prompting
El prompting zero-shot es un método de prompting en el que se pide a un gran modelo de lenguaje que realice una tarea sin darle ejemplos del patrón entrada-salida deseado. El modelo se apoya en su conocimiento preentrenado y en las instrucciones del prompt, no en demostraciones few-shot u one-shot.
In generative AI, a zero-shot prompt is a prompt that enables a large language model (LLM) to perform a task without any additional training or examples. This contrasts with methods like few-shot prompting, which provides the model with example inputs and outputs. A zero-shot prompt relies solely on the model's pre-existing knowledge to generate a response. For more information, see zero-shot prompt.
A prompt that does not provide an example of how you want the large language model to respond. For example: Notes | ---| The question you want the LLM to answer. | The actual query. | The large language model might respond with any of the following: - Rupee - INR - - Indian rupee - The rupee - The Indian rupee All of the answers are correct, though you might prefer a particular format. Compare and contrast zero-shot prompting with the following terms: - one-shot prompting - few-shot prompting