Friday, August 19 2022 - 4:00 PM

Cohere AI Hackathon

Use NLP to Build Remarkable Things

We welcome you to join us for episode one of Cohere Online Hackathon! We're partnering with Cohere to give the LabLab community the opportunity to build with one of the world's most powerful artificial intelligence language models.

Cohere AI Hackathon
NewNative is a artificial intelligence reaseach and development companyDigital Ocean cloud hostingOpenAI NLP transformer APINextgrid AI, top performing AI accelerator

Hackathon summary video

About Cohere

Cohere provides unprecedented access to affordable, easy-to-deploy large language models.

Our platform gives computers the ability to read and write - whether you want to better understand what your customers are saying, or you want to write compelling copy that speaks to your target audience, Cohere can help.

The main focus of this episode is to explore the full potential of Cohere’s Generate. Generate is powered by a large language model that has read billions of words, learning the patterns and idiosyncrasies of sentences. Using this knowledge, it writes content, predicts outcomes or answers questions at your command.

You can use Cohere for free by creating an account here.

Cohere Hackathon Details

The hackathon starts on August 19th and ends on August 21th. Over the weekend, you'll have the opportunity to learn from Cohere experts during workshops, keynotes, and mentoring sessions.

How to participate in the hackathon

The hackathon will take place online on LABLAB.ai platform and LABLAB.ai Discord Server. Please register for both in order to participate.

To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines.

Who Can Participate?

Previous experience in AI is not required. While many participants are industry experts, we also welcome people with other types of domain knowledge that want to understand & explore how AI can be used in their fields.

Hackathon prizes

Mathias Asberg

Speaker, Mentor

Mathias Asberg

Founder New Native

AI technologist & investor, IBM AI Advisory Board Member and passionate about accelerating innovation

Ivan Zhang

Speaker

Ivan Zhang

co:founder, CTO

Sandra Kublik

Speaker

Sandra Kublik

Developer Relations at Cohere

O'Reilly Author, YouTuber

Jakub Zakrzewski

Organizer

Jakub Zakrzewski

Event Manager at New Native

Event and Marketing specialist | UX/UI Enthusiast

Paweł Czech

Speaker, Judge

Paweł Czech

Founder New Native

Prior to entering the space of AI and Private Equity investment, Pawel has led market entry for three global tech companies into 45 countries.

Who can join the Hackathon?

Do I need a team?

Do I need a Github account?

Do I have to use Cohere's Generate?.

I have other questions.

  • To be announced
Teams
Roomies2

Roomies2

:)

HereForCohere

HereForCohere

NLP enthusiast; Learning interesting things;

Winner's

Winner's

To win

CohereProject

CohereProject

Researcher

ajgar

ajgar

trying to learn new things and have meaningful insights here :)

NoName_titans

NoName_titans

titanium

Get Help

Get Help

A telegram bot that can detect your disease based on your symptoms

exploiter345

exploiter345

Better everyday life.

Ireka

Ireka

lets join and solve some of real life problems with machine leaning

Pylon

Pylon

CS major interested in NLP

trojan_hammer

trojan_hammer

We will try!!

Deep Matrix

Deep Matrix

NLP collaboration.

Dine IN

Dine IN

We are working on a B2B SaaS product focusing on improving the patron and restaurant owner experience in the food industry - focusing on fine dine restaurants. We are leveraging blockchain, IoT and data analysis and prediction to help deliver values to our partners.

Dtransformers

Dtransformers

Building for knowledge

I have work tomorrow :(

I have work tomorrow :(

Filthy casual looking to make something :)

Rajesh

Rajesh

Nothing

text-drift

text-drift

filler text

NoName

NoName

NoDescription

Unleash

Unleash

Unleash the power of LLMs

StrawHats

StrawHats

Trying out cool things

Hit

Hit

Hit consist of only one member of enthusiastic about ai.

Mavericks

Mavericks

We are group of Bachelor's of Technology.

Novel

Novel

All those who want to try to work it out can join here

Hemanth

Hemanth

Working on NLP

Algoholics

Algoholics

Hi!

Cato

Cato

I am a machine learning enthusiast interested in expanding my skills.

Zoltans

Zoltans

We are a group of computer science students interested in machine learning and AI algorithms.

NoName_Titans

NoName_Titans

Titanium's

Overemployed

Overemployed

A legendary team

AI Enthusiast

AI Enthusiast

Join here

Turing

Turing

.

Stealth

Stealth

Dev from SRM University

Sauce Dealer

Sauce Dealer

A group of CS friends wanting to learn more about AI!

justing

justing

jus a dude

LMDoctors

LMDoctors

NLP Research enthusiasts.

srikanth

srikanth

AI

EMOTIBOTS

EMOTIBOTS

We're going to send humans to Mars, PA

The Confabulators

The Confabulators

The Confabulators are a team of students with a few more experienced members who are passionate about artificial intelligence and its potential to change the world. We believe that AI can be used to solve some of the world's most pressing problems, and we're excited to work on projects that have the potential to make a real impact.

Anonymous00

Anonymous00

videogames

Imagine Art

Imagine Art

creators

Submissions
DocuCenter

DocuCenter

DocuCenter untagles all your document related frustrations. A powerful yet simple, interactive system for storing, tracking, sharing and managing documents. Different document types have different needs. For example: all your documents related to immigration have to be time-tracked. DocuCenter extracts information from all the uploaded documents and embeds them into its renderable knowledge graph to provide assistance such as smart notifications, AI powered communication assist and prompt question answering.

exploiter345

ML Queries App

ML Queries App

The app lets you check if the queries you have have already been asked on MachineLearning subreddit! It shows 10 related matches to your query along with the relatedness distance, url and date when it was asked. [Cohere was used to generate about 17k embeddings from the queries mined on reddit. It is also used real time to generate the embeddings for the user's query to find related matches. (Though the ~17k embeddings took a lot of time to collect due to rate limit owing to free tier, the api had no downtime and embeddings were seamlessly stored over a period of 6 hours without throwing any exception.) ]

HereForCohere

whatisit.app

whatisit.app

Simple to use, cross-platform application, which helps to * Remember the stories from the childhood which name u can't remember * Searching the word, which describes something, that u can explain * Describe the movie sense to increase the phrase composition skill if you learning English

Overemployed

Generating MongoDb Queries With User Text Input

Generating MongoDb Queries With User Text Input

Our application helps Business Analysts and BI application users to interact with MongoDB without actually learning the syntax. It also helps new developers to write queries quickly by using this application to generate boilerplate queries. This application can also be used to generate queries for stress/monkey test an mongoDB application. This can be easily scaled to other noSQL databases with few shot training.

NoName_titans

Get Help

Get Help

A telegram bot that tries to detect your disease based on your symptoms.

Get Help

bookmark-manager

bookmark-manager

On daily bases we use to surf the internet and put lot of bookmarks and after that when we again went it for a bookmark, we trouble a lot there Keeping this in mind we created a AI application, so it can manage all the bookmarks and put in separately in the different tags. In this way it becomes super easy for the user to quickly jump on the what he/she wants to see Every user who surfs the internet on daily bases can use it very easily ThankYou

Ireka

Turing Test

Turing Test

Our product is a Web based Application which improves the efficiency of chat based support systems by automating repetitive parts of the workflow. This is done by utilising Cohere’s API in order to provide smart shortcuts for the Chat Support Agents. We aim to maximise Customer and Customer Support Agent satisfaction by making the lookup of product and service related answers instantaneous, thereby allowing the Customer Support Agent to put more effort into the interaction with the customer rather than the mundane task of researching answers.

Turing

Mind-ai-full

Mind-ai-full

It's a simple web application which allows you to choose which types of emails are important for you. Based on that it will display only those that could be potentially important for you in the future. Furthermore it only shows you the summaries.

Cato

Imagine Art

Imagine Art

Imagine Art is an inspiration hub for all aspiring & existing artists. Using Co:Here's API playground, Imagine Art can generate a set of images that gives artists a starting point to their blank canvas. Type simple or complex English sentences, and Imagine Art will use AI to provide you similar prompts, which you can then select and land on the final set of pictures

Imagine Art

Simplified Universe

Simplified Universe

Often we come across documents, or text, in general which contain words and phrases that might be difficult for a normal guy to understand. For example - legal documents (docs published by Public Administration, contracts), and medical reports. We have developed an end to end web application, that takes such texts and tries to provide a lexically and syntactically simpler version of the provided text. These changes can be of the form - replacing complex words and phrases, breaking sentences, etc. We finetuned the small and medium models upon publically available datasets - Asset Data, MedWiki, and SimPA Corpus. We made use of the 'generate' API to get the simplified text. Also we used the 'embed' API to filter out noisy examples from the data, and also to choose the best possible response from the mulitple generations.

LMDoctors

WordGsr

WordGsr

WordGsr is a cooperative party minigame played on a single device within the Python console. It can be played in either of two modes - the telephone mode, or the point mode. Players take turns inputting words into the program, which then using the Cohere Generate api, outputs a realistic sentence for other players to guess the original words. The telephone version has the players pass their guesses to the next sentence, with the goal of keeping as close to the original words as possible. The point version is similar, except the players choose a new set of words each turn, and other players can earn points by guessing the words correctly. The program begins within the Main.py file, where the player can pick their desired mode. Then, based on their choice, they are directed to either the pointsVer.py or telephoneVer.py file, which runs the game. Players also get to choose their difficulty level, which changes the complexity of the sentence produced by the AI. This is achieved through changing the complexity the example dataset itself used to train it, located in the Prompt.txt files.

Sauce Dealer

CohereWinners Announced

Enrolled

536 /