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An example of a computational problem that can be assigned to a Large Language Model is to determine whether a given document discusses the risks of AI. This task can be presented to the LLM through a specific prompt.

Example of a Classification Task for LLMs: Identifying AI Risks in a Document

An example of a prompt for a classification task is: 'You are provided with a text. Please determine whether it discusses the risks of AI.' This instruction directs a Large Language Model to classify a document based on its content.

Example Prompt for an AI Risk Classification Task

Processing long documents with Large Language Models can be computationally expensive. This high cost poses a practical challenge when applying these models to tasks that involve extensive text inputs.

Computational Cost of Processing Long Documents

A financial services company wants to use a large language model to automatically process a high volume of incoming customer emails. Which of the following tasks best represents a classification problem that could be assigned to the model?

A research team is using a large language model to process a large set of documents. Which of the following instructions given to the model best exemplifies a classification task?

Based on the provided scenario, explain how this content moderation problem can be structured as a classification task for the model. Specifically, what would the model be classifying, and what would the possible output categories be?

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