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

Welcome to AI Assistants. This team focuses on creating Customer service related AI. We are students of Manipal Institute of Technology, Bengaluru and the core team of Open Design Robotics

AI Assistants

Plexi

Rishikesh

We have created a service AI NLP model aimed towards customer service. By using the cohere API, companies can save money and time while providing top-notch customer service to their clients. This model uses advanced natural language processing algorithms to understand customer queries and respond accordingly. It can handle a wide range of customer queries, from product-related questions to technical issues, thus reducing the workload of customer service agents. In addition, the model can be fine-tuned and trained to suit the specific needs of the company, ensuring maximum efficiency. By using this innovative technology, companies can significantly improve their customer service operations while simultaneously reducing costs and boosting customer satisfaction.

An AI Assistant that can act as a customer service agent and assist customers

"AI Assistants team on Cohere Hackathon Hackathon"

Team Idea

Submission