Generative AI with LLMs: Program-aided Language Models: What Are They and How Do They Work?

Learn what Program-aided Language Models (PAL) are and how they can help you solve natural language problems by generating programs and offloading computational tasks to other programs.

Question

What is a correct definition of Program-aided Language (PAL) models?

A. Models that enable automatic translation of programming languages to human languages.
B. Models that integrate language translation and coding functionalities.
C. Models that assist programmers in writing code through natural language interfaces.
D. Models that offload computational tasks to other programs.

Answer

D. Models that offload computational tasks to other programs.

Explanation

The correct answer is D. Models that offload computational tasks to other programs. Program-aided Language (PAL) models are a novel approach that uses large language models (LLMs) to read natural language problems and generate programs as the intermediate reasoning steps, but offloads the solution step to a programmatic runtime such as a Python interpreter. With PAL, decomposing the natural language problem into runnable steps remains the only learning task for the LLM, while solving is delegated to the interpreter. This reduces the computational and storage costs of fine-tuning, as well as the risk of overfitting or catastrophic forgetting. PAL can achieve state-of-the-art few-shot accuracy on various mathematical, symbolic, and algorithmic reasoning tasks.

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