Author claims Liquid AI is the only American lab outperforming Chinese teams on…

Brief

Liquid AI released two new multilingual retrieval models—LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M—claiming best-in-class multilingual and cross-lingual performance across 11 languages (including Arabic, Japanese, Korean, and major European languages) and end-to-end retrieval latency down to 1.5 ms; the post asserts Liquid AI is the only U.S. lab currently outperforming Chinese teams on open-weights models.

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Liquid AI announced two retrieval models—LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M—supporting 11 languages (Arabic, German, English, Spanish, French, Italian, Japanese, Korean, Norwegian, Portuguese, Swedish).

Liquid AI reports end-to-end retrieval latency as low as 1.5 ms with its enterprise stack and says the models deliver best-in-class multilingual and cross-lingual performance.

Wow.. seems @liquidai is the only American lab outperforming the Chinese on open weights models! 🌊 📲

Liquid AI (@liquidai)

Introducing LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M: two multilingual retrieval models built for ultra-fast and accurate search across 11 languages.

> End-to-end retrieval latency as low as 1.5ms with our enterprise stack! 🚀

> Consistently best-in-class multilingual and cross-lingual performance across Arabic, German, English, Spanish, French, Italian, Japanese, Korean, Norwegian, Portuguese, and Swedish.

🧵

— https://nitter.net/liquidai/status/2067610173024219225#m

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