Tether AI: Releases QVAC TranslatePsy-AfriSLM
Tether AI drops QVAC TranslatePsy-AfriSLM, an 800M-param model that beats 152x larger systems on Sub-Saharan language benchmarks and runs fully locally.
SourceAnalysis
Tether AI released QVAC TranslatePsy-AfriSLM, a pair of compact models at 800M and 2B parameters that outperform flagship systems up to 152 times larger on translation benchmarks for 19 Sub-Saharan African languages while running 100 percent locally on laptops or phones, extending Tether USDT company AI initiatives history and sharpening small language models vs large LLMs benchmarks Sub-Saharan languages comparisons across the AI industry impact on low-resource translation.
Paolo Ardoino
@paoloardoinoPaolo Ardoino is the CEO of Tether (issuer of USDT), CTO of Bitfinex,