Ensemble LLMs to get better results: Suggestion for new example

[yogeshhk]

Each LLM model has its own strength, has its own diverse corpus. Rather than relying on one LLM at a time, to get response, why not employ multiple LLMs and then get the best result by ranking the responses?

Steps for any problem:

• Have multiple LLMs in ensemble (for-loop)
• Let each LLM respond to the given prompt, collect responses from each
• Let each LLM rank the responses from all the LLMs.
• Aggregate the ranks, or some way of majority, find the best response.