Promptabhängigkeiten

Promptabhängigkeiten, also known as prompt dependencies, refer to a situation in the field of artificial intelligence, particularly with large language models (LLMs), where the output of one prompt is directly influenced by or relies upon the output of a preceding prompt. This is common in conversational AI or when generating multi-step responses where the model needs to maintain context and build upon previous information.

For instance, in a customer service chatbot scenario, an initial prompt might ask for a user's order number. The subsequent prompt might then inquire about the status of that specific order. The chatbot's ability to provide the correct status is entirely dependent on receiving and processing the order number from the first prompt. Without that initial information, the second prompt would be meaningless or lead to an incorrect response.

Prompt dependencies are a crucial aspect of designing effective AI systems that engage in extended interactions. Managing these dependencies involves techniques like maintaining conversation history, employing specialized memory mechanisms within the model, or structuring multi-turn dialogues carefully. Failure to account for prompt dependencies can result in disjointed conversations, irrelevant answers, or an inability for the AI to perform complex tasks that require sequential processing of information. Understanding and controlling these dependencies is key to building more sophisticated and useful AI applications.