forked from https://github.com/bklieger-groq/g1
To handle harder questions, we can improve the reasoning logic by implementing a multi-pass approach. This would involve breaking down the problem into smaller, manageable sub-tasks and using recursive reasoning.
After completing the initial reasoning chain, the model could re-evaluate the steps and conclusions, identifying any weak points or gaps, and then initiate a second pass with a more focused approach on those areas.
This recursive method would allow for deeper exploration of complex problems and help identify potential errors or alternative solutions.
Additional prompt:
Please re-examine your reasoning. Identify any weak points or alternative solutions you may have missed.
Result:
We can see that the second pass greatly improves the accuracy of the answer, even for such extremely difficult questions :)