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To enhance the capabilities of a problem-solving model, the solver function $$S_i(\cdot)$$ used for addressing sub-problems does not need to be exclusively restricted to a Large Language Model. Instead, this function can be expanded and generalized to encompass any external system or tool that is better equipped to handle the specific nature of a given sub-problem. This allows for a more flexible and powerful framework.

Expanding the Sub-Problem Solver Beyond LLMs

When generalizing the sub-problem solving function $$S_i(\cdot)$$ beyond simple language models, various specialized external systems can be integrated. For instance, the solver could be linked to an Information Retrieval (IR) system to access a broader range of external data. Alternatively, it could function as a calculator to guarantee accurate results when processing mathematical sub-problems.

Examples of Non-LLM Sub-Problem Solvers

An engineering team is designing a system to help users plan a road trip. The system first decomposes the user's request into smaller tasks: 1) calculating the shortest driving route between two cities, 2) finding real-time gas prices along that route, and 3) generating a descriptive, engaging travel itinerary. The lead architect proposes using a single, state-of-the-art Large Language Model to handle all three of these tasks. Which of the following statements provides the most insightful critiq

Imagine you are designing an AI system that decomposes a user's complex query into several sub-problems, each handled by a dedicated 'solver'. Analyze the sub-problems described in the case study below. For each one, propose the most appropriate type of solver (e.g., a language model, a calculator, a database query tool) and justify why it is better suited for that specific task than a general-purpose alternative.

Optimizing a Multi-Task AI System

A complex problem-solving system breaks down a user's request into several smaller, distinct tasks. Match each task below with the most suitable type of specialized system to solve it, considering efficiency, accuracy, and reliability.

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