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This invention describes a way for a large language model to handle many different kinds of natural language tasks without needing to be retrained for each one. It uses specific "endpoints" for various tasks, and when a request arrives, the system figures out special instructions, called guidance mechanisms, based on the task linked to that endpoint. These instructions are then added to the request to guide the model in processing the text. The claims specifically focus on this method of determining guidance mechanisms based on the endpoint's task.
Why it matters: Filed when LLM prompting was still nascent. The effectiveness of guiding large language models for specific tasks using text prefixes and structured prompts, as described by the guidance mechanisms in the claims, has dramatically improved since 2022.
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