Meet up with Cohere and learn from top NLP experts at industry and research conferences, webinars, and hackathons. 

Events - AI Conferences, NLP Webinars, LLM Hackathons | Cohere

Events

Our weekly meet-up is an excellent check point for both those who are new to Aya and experienced contributors. Join us for project updates, learn about how to contribute, and get competitive with our weekly mini challenge!

Recent breakthroughs in NLP technology have focused on English, leaving other languages behind. One of the biggest hurdles to improving multilingual model performance is access to high-quality examples of multilingual text. In January 2023 the Cohere For AI community set out on an ambitious open science research project.

With members from over 100 countries around the world, we sought to leverage the great strength of our diversity to make meaningful contributions to fundamental machine-learning questions. Our ultimate goal is to release a high-quality multilingual dataset. In sharing this artifact broadly, we will support future projects that aim to build technology for everyone, including those who use any of the 7,000+ languages spoken around the world. As technological progress races forward, join us to ensure no language is left behind.

Join the Aya Discord server to get started!

Cohere For AI - AYA Weekly Meet-Up & Mini Challenge

Cohere for AI - AYA Weekly Meet-Up & Mini Challenge: Join us for project updates, learn about how to contribute, and get competitive with our weekly mini challenge!

Join our Reinforcement Learning Group as they welcome Costa Huang, Machine Learning Engineer at Hugging Face to present "Cleanba: A Reproducible Distributed Deep Reinforcement Learning Platform"


Description: Distributed Deep Reinforcement Learning (DRL) aims to leverage more computational resources to train autonomous agents with less training time. Despite recent progress in the field, reproducibility issues have not been sufficiently explored. This paper first shows that the typical actor-learner framework can have reproducibility issues even if hyperparameters are controlled. We then introduce Cleanba, a new open-source platform for distributed DRL that proposes a highly reproducible architecture. Cleanba implements highly-optimized distributed variants of PPO and IMPALA. Our Atari experiments show that these variants can obtain equivalent or higher scores than moolib and torchbeast's IMPALA, but with shorter training time and more reproducible learning curves.

Cohere For AI - Guest Speaker: Costa Huang, ML Engineer @ Hugging Face

Cohere for AI - Costa Huang, ML Engineer @ Hugging Face presents Cleanba: A Reproducible Distributed Deep Reinforcement Learning Platform 

 Large language models (LLMs) contributed to a major breakthrough in NLP, both in terms of understanding natural language queries, commands or questions; and in generating relevant, coherent, grammatical, human-like text. LLMs like ChatGPT became a product used by many, for getting advice, writing essays, troubleshooting and writing code, creative writing, and more. This calls for a reality check: which NLP tasks did LLMs solve? What are the remaining challenges, and which new opportunities did LLMs create? In this talk, I will discuss several areas of NLP that can benefit from but are still challenging for LLMs: grounding, i.e. interpreting language based on non-linguistic context; reasoning; and real-world applications. Finally, I will argue that the standard benchmarking and evaluation techniques used in NLP need to drastically change in order to provide a more realistic picture of current capabilities. 


 Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia and a CIFAR AI Chair at the Vector Institute. Her research is concerned with natural language processing, with the fundamental goal of building computer programs that can interact with people in natural languages. In her work, she is teaching machines to apply human-like commonsense reasoning which is required to resolve ambiguities and interpret underspecified language. Before joining UBC, Vered completed her PhD in Computer Science at Bar-Ilan University and was a postdoctoral researcher at the Allen Institute for AI and the University of Washington.

Cohere For AI - Guest Speaker: Vered Shwartz, Assistant CS Professor

Cohere for AI - Interactive Reading Group Welcomes Vered Shwartz

Join the Computer Vision Group as they host Lindsey Li, Senior Researcher at Microsoft, to present "Multimodal Understanding with Large Language Models."

Cohere For AI - Guest Speaker: Lindsey Li, Sr. Researcher at Microsoft

Cohere for AI - Lindsey Li presents Multimodal Understanding with Large Language Models

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. Discover new ideas, build connections, and interact with new technology from November 27- December 1 in Las Vegas.

AWS re:Invent offers cloud enthusiasts, experts, and practitioners an experience like no other. You get five days of opportunities to find productive solutions that will transform your company and your pick of 2,000+ learning sessions to quickly master new skills. And, the event gives you hundreds of ways to build connections that can mean the next big step for your career—or your business.

Join Cohere at our booth and re:Invent socials! More details coming soon. 

Cohere at AWS re:Invent 

AWS re:Invent is a learning conference hosted by AWS for the global cloud computing community. Discover new ideas, build connections, and interact with new technology this November in Las Vegas. 

Cohere For AI - AYA Weekly Meet-Up & Mini Challenge

Upcoming Events

Cohere’s past events