LABLAB.ai partners with Cohere to host a series of AI Hackathons

Date
Authors
Mathias Åsberg
@mathiiias123
Pawel Czech
@czech_pawel

LABLAB.ai has entered into a commercial partnership with Cohere, one of the leading authorities on NLP and transformers.

Cohere and LABLAB.ai are pleased to announce a series of AI Hackathons that will bring together the best and brightest minds in the artificial intelligence community.

The first hackathon in the series will be hosted on the lablab.ai platform August 19 – 21, 2022.

This event will give participants limited access to the latest AI tools, mentorship, and a platform to showcase their creativity and build working prototypes.

Cohere is a community of experienced hackers that creates NLP-powered solutions for businesses and developers. It was founded in 2019 by a team that includes Aidan Gomez, Ivan Zhang, and Nick Frosst, who all have experience working with Google’s AI research division.

To date, Cohere has raised $170 million from institutional venture capital firms, such as Tiger Global Management and Index Ventures. The company has also partnered with Google to train large language models on the company’s dedicated hardware infrastructure. So far, Cohere has had success in creating revolutionary NLP-powered solutions that have helped businesses and developers alike. With the backing of AI luminaries such as UC Berkeley AI lab co-director Pieter Abbeel, Cohere is poised to continue its success in the years to come.

With Cohere’s cutting-edge technology, participants will have the opportunity to build projects that push the boundaries of what is possible with artificial intelligence. We are excited to see what the AI community will create at this event and we encourage everyone with an interest in artificial intelligence to participate.

This is an excellent opportunity for anyone interested in building their skills within the artificial intelligence ecosystem. So whether you’re a seasoned pro or a beginner, be sure to check out the Cohere AI Hackathon series.

For more information, please visit LABLAB.ai