Jason Riesa
@jasonriesa
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i18n / Multilinguality Research @GoogleDeepMind
San Francisco, CA
Joined December 2013
šĀ Join the Gemini Multilinguality team @GoogleDeepMind š Weāre looking for researchers passionate about making LLMs helpful for all. Dramatically improve model quality, coverage, and cultural relevance across hundreds of languages. #NLProc #MultilingualAI #i18n #LLMs.
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RT @GoogleAI: Introducing ECLeKTic, a new benchmark for Evaluating Cross-Lingual Knowledge Transfer in LLMs. It uses a closed-book QA task,ā¦.
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RT @sundarpichai: 1/ Gemini 2.5 is here, and itās our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental isā¦.
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RT @koraykv: 1/ Today we are releasing Gemini 2.5 Pro Experimental, our newest Gemini model with integrated āthinkingā and significant perfā¦.
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RT @_danieldeutsch: šØNew machine translation dataset alert! šØWe expanded the language coverage of WMT24 from 9 to 55 en->xx language pairsā¦.
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RT @JeffDean: Gemini 2.0 Flash is here! š. We're quite excited about this model. It's better than Gemini 1.5 Pro on most benchmarks, but cā¦.
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RT @lmarena_ai: Massive News from Chatbot Arenaš„. @GoogleDeepMind's latest Gemini (Exp 1114), tested with 6K+ community votes over the pastā¦.
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RT @partha_p_t: Exciting opportunity in the Languages team at @GoogleDeepMind India to advance LLM frontiers and bring their benefits to aā¦.
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RT @demishassabis: Never seen a competitive leaderboard that I didn't like š Congrats to the Gemini team on ranking no.1 š with our latestā¦.
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RT @lmsysorg: Exciting News from Chatbot Arena!. @GoogleDeepMind's new Gemini 1.5 Pro (Experimental 0801) has been tested in Arena for theā¦.
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RT @JeffDean: Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length. Today we are releasing the first demonstrā¦.
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RT @ShikharSSU: Is that speech English, Spanish, or Mandarin? šµļøāāļø. šSuper excited to share several works that improve language identificaā¦.
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RT @snehaark: I'm at #NeurIPS2023 today presenting MADLAD-400 with.@BZhangGo and @adityakusupati at 5:15pm in Hall B1/B2 #314! Come by andā¦.
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RT @johnwieting2: Our work on cross-lingual and multilingual attribution will be presented at #EMNLP2023 in Singapore!. We have also releasā¦.
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Thrilled to work with such a talented group of folks to bring the capabilities of LLMs and generative AI to more languages and locales, and into the hands of users around the world.
Iām very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,
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RT @ben_mlr: Despite the fantastic progress we've seen recently in cross-lingual modeling, the best systems still make a lot of factual errā¦.
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RT @GoogleAI: With the rapid development of language technology, itās important that as many languages as possible benefit from these technā¦.
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RT @taolei15949106: Introducing Conditional Adapters (CoDA) from Google Research!.Adaptation methods (e.g. Adapter and LoRA) can finetune Lā¦.
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