Program-Aided Language Models (PAL)
A technique that pairs the capabilities of language models with the execution of program code. The model generates code or pseudocode to solve a task, then interprets the results of running that code.
| Advantages | Drawbacks |
|---|---|
| Handles complex computational tasks | Requires integration with a code execution system |
| Improves the accuracy and reliability of results | Can be harder to implement and debug |
| Combines the flexibility of language models with the precision of programming | May demand significant compute resources |
Example of a PAL prompt:
Solve the following math problem using Python. First write the code for the solution, then run it and interpret the results:
Find the sum of all prime numbers below 1000 that leave a remainder of 1 when divided by 3.