Cohere For AI and Cohere team members David Felipe Mora, Victor M., Luísa Moura, David Cairuz and Sara Hooker are having a great week at the Khipu AI conference in Chile! The team has enjoyed connecting and sharing insights with researchers, innovators, and AI enthusiasts from around the world ??
Cohere For AI
科技、信息和网络
We’re Cohere's research lab and community exploring the unknown, together.
关于我们
Who we are
Cohere For AI is Cohere's non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research.
Our community is a space where researchers, engineers, linguists, social scientists and lifelong learners connect and collaborate with each other. We come together from all over the world and welcome you whether you are a mentor, dropout, just getting started, PhD, masters, undergraduate, unaffiliated, industry, academic or not really sure. We are excited to support community-driven research and to be shaped by our members' interests.
Where we’ve come from
In 2017, a team of friends, classmates, and engineers started a distributed research collaboration, with a focus on creating a medium for early-career AI enthusiasts to engage with experienced researchers – they called it “for.ai.” Two of those co-founding members, Aidan Gomez and Ivan Zhang, later went on to co-found Cohere, and many of the founding members went on to do exciting things (pursuing PhDs, working at industry and academic labs).
At the time, For AI was one of the first community-driven research groups to support independent researchers around the world. Today, Cohere is proud to reintroduce For AI as Cohere For AI, a dedicated research lab and community for exploring the unknown, together.
- 网站
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https://cohere.com/research
Cohere For AI的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 创立
- 2022
- 领域
- research、machine learning和open science
动态
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In addition to releasing 8B and 34B open weights models, we have open sourced the Aya Vision Benchmark - a rigorous evaluation set in 23 languages for multimodal multilingual evaluation to assess cross-lingual and multimodal understanding. Find it all in the Aya Vision Collection: https://lnkd.in/gKBDURZb
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Conectando nuestro mundo ?? Presentamos orgullosamente ?Aya Vision ? Pruébalo en WhatsApp +14313028498 ?Nuestra integración de WhatsApp ahora incluye las capacidades de interpretación de imágenes de Aya Vision! Pruébalo ahora incluyendo una imagen en tu próximo mensaje de texto para Aya: https://lnkd.in/gUppEEtf ?Gracias a Silvia Fernandez por compartir!
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Are you at @Khipu_AI? Come say hi! ?? Visit the Cohere and Cohere For AI booth - we? would love to chat about multilingual AI, open science, and everything in between. Stop by to learn more about our work, meet the team, and see how you can get involved! ?Estás en @Khipu_AI? ?Ven a saludar! ?? Pásate por nuestro stand para conversar sobre IA multilingüe, ciencia abierta y mucho más. ?Ven a visitarnos para obtener más información sobre nuestro trabajo, conocer al equipo y ver cómo puedes involucrarte!
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We're looking forward to hosting David Watson for a session on "Competing narratives in AI ethics: a defense of sociotechnical pragmatism" on Thursday, March 20th. Thanks to our ML for Good and AI Safety and Alignment leads Jen Iofinova, Kate Gamper, Alif Munim and Abrar Rahman for joining forces and getting this event organized ?? Learn more: https://lnkd.in/gEQVTheV
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As we built out multimodal performance for Aya Vision, it was key to not compromise our strong multilingual base. ?? Expanding multimodal capabilities to 23 languages represents meaningful progress toward models that can interpret the complex nuances of our world. Hear more about our lab's priorities and how we accomplished this in this discussion with some of the researchers and engineers behind Aya Vision. https://lnkd.in/gnbvifn7
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Tune in tomorrow, March 13th as our ML Theory group welcomes Eldar Kurti? for a talk on "Beginner-Friendly Introduction to LLM Quantization: From Zero to Hero." Learn more: https://lnkd.in/g7nYJm45
Join us next week on Thursday, March 13th for a presentation by Eldar Kurti? on "Beginner-Friendly Introduction to LLM Quantization: From Zero to Hero." Thanks to Anier Velasco Sotomayor, Thang Chu Duc and Andrej Jovanovi? for organizing this event ?? Learn more: https://lnkd.in/g7nYJm45
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Just one day after launching sign ups for Expedition Aya and the research ideas are flooding in including new projects in: ???multimodal agents, ??low resource languages, ??new datasets, and more! Sign-ups are open for another 2.5 weeks! Bring your own idea, or join a team. Learn more and Sign up for Expedition Aya: https://lnkd.in/gnNkEDgS
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Onze wereld verbinden ?? We zijn trots om ?Aya Expanse? te presenteren Probeer het uit via SMS in Nederland: (+31) 97006520757 of wereldwijd op WhatsApp : +1 431-302-8498 Onze WhatsApp-integratie omvat nu de beeldinterpretatiemogelijkheden van Aya Vision! Probeer het nu door een afbeelding op te nemen in je volgende tekst naar Aya: https://lnkd.in/gWBGtgwn
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The C4AI Research Grant program supports a variety of research and ML for good projects worldwide. Today we’re highlighting Understanding stereotypes in LLMs in Argentina, led by Luciana Benotti and Guido Ivetta ? This team developed a tool and methodology to help social science experts in Latin America analyze biases in AI language models, overcoming technical barriers. They are now working with Argentinian secondary school teachers and students to build community-driven datasets that capture local stereotypes, aiding in the detection of discriminatory behaviors and hate speech.? With support from the Cohere For AI research grant, they have integrated Cohere’s models into their tool and benchmark them against other open-source models to assess stereotype biases in language models. Read more about this project: https://lnkd.in/epfFtPiM? Apply for a research API grant: https://lnkd.in/gawdasUq
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