👉 Prompt computing, or prompt-based computing, is a computational paradigm where the input to a machine learning model is a carefully crafted prompt or query rather than raw data. This approach leverages the model's ability to understand and generate human-like responses based on the given prompt, effectively mimicking human reasoning and decision-making. By providing contextually relevant prompts, prompt computing enables models to perform complex tasks such as natural language understanding, generation, translation, and reasoning in a more intuitive and human-like manner. This method is particularly useful when dealing with tasks that require understanding nuanced language, context, and intent, as it allows the model to generate more accurate and coherent outputs based on the specific prompt provided.
