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, it sends it to 4 different OSS LLMs. It then combines results from all 4, sends it to a final LLM, and asks it to combine all 4 responses into an ideal response. That’s it! It’s just the idea of combining the results of 4 different LLMs to produce a better final output. It’s obviously slower than using a single LLM but it can be great for use cases where latency doesn’t matter as much like synthetic data generation.
For a quick summary and 3-minute demo on how to implement MoA with code, watch the video below: