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

The Incremental Experience

Misha Lyamets

Nikita Batalov

Psy-Q Bot is an AI-powered chatbot that provides psychology-related information and resources to users. The development of the bot was guided by the goals of creating a product that is both useful and easy to use, and leveraging the capabilities of Cohere's API as much as possible: we use both generate and embed. The system is composed of a web client built using React and a server that provides centralized access to Cohere. The key component of the application is Cohere, which is used to analyze user questions, match them with relevant sources in the dataset, and generate responses. The Embed endpoint of Cohere is utilized to analyze and compare questions, while the Generate endpoint is used to generate responses and improve the custom Cohere model. The dataset used by the bot has also been partially augmented using Cohere's Generate endpoint, allowing for continuous training and refinement of the model.

Psy-Q Bot is a chatbot that has been trained to answer psychology-related issues and can provide its sources for verification and further reading.


"The Incremental Experience team on Cohere Hackathon Hackathon"

Team Idea

Submission