Last call! Only today you can still apply for @CohereforAI Research Scholars Program -> It's a 6-month, full-time research apprenticeship, where scholars will work alongside an expert engineering team on innovative machine learning projects. You'll also have access to advanced

Researchers at cohere systematically study how adding code to the training corpus affects the performance of LLMs. The results show that the benefits go far beyond coding tasks. Read my story along with comments from lead author Viraat Aryabumi venturebeat.com/ai/code-in-pre…

Your research journey starts here. ✨ Today is the last day to apply for the 2025 cohort of the C4AI Research Scholars program. Together, let's explore the unknown. jobs.lever.co/cohere/bb3df91…

Looking forward to seeing all your applications come in. Due by eod anywhere in the world. 🔥

A little update to Command R/R+ cohere.com/blog/command-s…

The problem with #AI training sets uncovered by an audit of >1,800: "a crisis of misattribution" >70% license omission rates >50% license error rates nature.com/articles/s4225… nature.com/articles/s4225… Nature Machine Intelligence Sara Hooker Shayne Longpre Robert Mahari dataprovenance.org

📢 Excited to see our piece the "Data Provenance Initiative: A large-scale audit of dataset licensing and attribution in AI" now in: 📜 nature Machine Intelligence ➡️ nature.com/articles/s4225… 🗞️Massachusetts Institute of Technology (MIT) News ➡️ news.mit.edu/2024/study-lar… 1/

Happy to announce that our research paper, A large-scale audit of dataset licensing and attribution in AI, was just published in Nature Machine Intelligence. Data provenance is becoming ever increasingly important as sources shut down open access to information.

We get a lot of questions about the nature of AI's environmental impacts... So my amazing colleagues MMitchell and Bruna Trevelin wrote a handy primer to explain them! huggingface.co/blog/sasha/ai-… Check it out to learn more about the water, energy and natural resources used to

September 13th be sure to check out C4AI's own Alejandro with our ML Efficiency group! 👏 Learn more: cohere.com/events/cohere-…

Try out our new Tower 7B on top of Mistral! As good as the previous Tower 13B, with ~half of the parameters. See you in Philly for Conference on Language Modeling ! Unbabel Instituto de Telecomunicações Técnico Lisboa CentraleSupélec

A special moment for all the work we are doing -- thank you TIME. ✨

Human feedback is critical for aligning LLMs, so why don’t we collect it in the open ecosystem?🧐 We (15 orgs) gathered the key issues and next steps. Envisioning a community-driven feedback platform, like Wikipedia alphaxiv.org/abs/2408.16961 🧵

As AI workloads demand more computational power, it is key to assess the energy efficiency of various Gen AI alternatives. In this work for nature, we introduce AI Energy Stars: a step toward offering straightforward relative comparisons of models. 📜nature.com/articles/d4158…

Happening now!