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Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost
AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source.
The Decoder··~4 min read
2-Minute Brief
According to The Decoder: AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source. The article Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost appeared first on The Decoder .
Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost
TLDR
AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source.
2-Minute Brief
According to The Decoder: AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source. The article Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost appeared first on The Decoder .