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Arabic WER: 20.92% · Parameters: 1.6B · Emirati WER (TII evaluation): 22.73%
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Measured on llama-index-core 0.14.24, SQLite via aiosqlite, macOS arm64, Python 3.12, with the open MIT suite agmi (https://github.com/tech4biz-yasha/agmi, row llamaindex-memory-sqlite). Method: seed a session through Memory.aput_messages(), apply one edit directly to the llama_index_memory table with no keys, open a…
Today, we’re introducing two new models that bring advancements in near real-time reasoning to more effectively enable voice agents and make conversing with AI feel more intuitive and intelligent.
Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program . Built to sustain deep reasoning across complex, long-horizon workflows, Argon is fundamentally changing the way we work and build at Google. It delivers frontier perfo…
Building on the momentum of last week's Gemini 3.8 Live launch, today we are excited to introduce Gemini 3.8 Live with Live Avatar — bringing near real-time visual presence to our native live dialogue models. By pairing near real-time video generation with speech, the Live Avatar feature creates an experience that lis…