Why Two Models Are Better Than One

You may have heard of the saying, “two heads are better than one.” The same could be said about large language models.

Yes, developers have figured out that model performance can be improved by combining a couple of LLMs. The concept behind "model merging" is surprisingly intuitive. Developers combine the weights (or the “settings” that determine how a model responds to queries) of two or more models trained for different purposes to create a single model that exhibits the strengths …

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