PulseAugur
EN
LIVE 13:11:42

Liquid AI releases multilingual retrieval models for edge devices

Liquid AI has launched two new retrieval models, LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, designed for efficient multilingual search in 11 languages. These models, each with 350 million parameters, are capable of running on edge devices. They are now accessible on the Hugging Face platform. AI

IMPACT Enables faster, more efficient multilingual search capabilities on edge devices.

RANK_REASON Release of new models by a company, not a frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Liquid AI releases multilingual retrieval models for edge devices

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Liquid AI has released two new retrieval models for multilingual search across 11 languages. The LFM2.5-Embedding-350M dense bi-encoder and LFM2.5-ColBERT-350M

    Liquid AI has released two new retrieval models for multilingual search across 11 languages. The LFM2.5-Embedding-350M dense bi-encoder and LFM2.5-ColBERT-350M late-interaction model both have 350M parameters and run on edge devices. Available on Hugging Face. https://www. markte…