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Baidu's Ernie 5.1 cuts 94 percent of pre-training costs while competing with top models
Baidu's Ernie 5.1 reduces pre-training costs by 94% versus comparable models using a parameter-efficient "Once-For-All" method, ranking 4th on the Search Arena leaderboard.
Baidu's Ernie 5.1 uses just a third of its predecessor's parameters and reportedly cost only six percent of what comparable models require to pre-train. That's possible thanks to a "Once-For-All" approach that extracts smaller sub-models from a single training run.
On the Search Arena leaderboard, Ernie 5.1 ranks 4th globally, behind two Claude Opus variants and GPT-5.5 Search. The article Baidu's Ernie 5.1 cuts 94 percent of pre-training costs while competing with top models appeared first on The Decoder.
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