Cohere Hackathon

Paweł Czech and Mathias Asberg, co-founders of New Native will talk about lablab.ai's mission and vision. https://www.twitch.tv/lablabai

Start

Sharing a broad overview of Cohere, the solutions Cohere provide, tips for the hackathon, Cohere New Multilingual Model and Sandbox 
https://cohere.ai/

Cohere Opening

Together with lablab.ai and Cohere teams we will shortly introduce you to the hackathon challenge and give you the guide for the Hackathon

Introduction to the Challenge, FAQ

Kemi Tijani will introduce you to Cohere and it's technology

Cohere Introduction

Unleash the power of AI with Text Generation! Learn how to generate human-like text with ease, by training models on your own data. 

Getting started with Text Generation

Unlock the power of AI-driven semantic search to improve data discovery & user experience. Learn how to understand intent & context for more accurate results.

Introduction to semantic search

Want to choose the perfect idea for your project? Start by identifying a problem, researching potential solutions, and considering your skills & resources. 

Choose an idea for a project

Ensure long-term success by building a scalable project architecture. Learn best practices to handle growth and adapt to changing requirements.

Build a project architecture to scale

We will be looking for the secret of success with winners of Cohere Hackathon

Panel with Cohere's Winners

Let's get to know each other more and discuss hot topic in AI world during this session

Interviews with participants

Kala

Deleted User

The traditional foreign-language training methods are ineffective since the learners are not engaged in the learning process. These methods focus mainly on vocabularies memorization and grammar-translations. However, foreign-language learners needs to be engaged through active storytelling and reading comprehension according to their skills level. 

This project is intended to leverage Generative AI and help foreign-language teachers to create personalized and compelling stories based on the learner’s skills level and interests. To train the Chinese sentence generator, we fine-tune Cohere’s Generative AI with “20k+ Chinese sentence translations and pinyin based on HSK level” dataset by Brian Vaughan. The model accuracy is 72.95%. 

This project leverages Generative AI to help foreign-language teachers to create personalized and compelling stories based on the learner’s skills level and interests.

"Kala team on Cohere Hackathon Hackathon"

Team Idea

Submission