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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 event thumbnail

Hackathon summary video

Co:here NLP

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

Powerful NLP Model

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.

Generate Endpoint

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.

API Access

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

Co:here challenge

The challenge for this hackathon is to create an innovative solution using Cohere Generate endpoint

Prizes and Awards

  • 🏆 $1000 worth of Cohere credits for the winning team
  • Cohere Swag for the second and third place

Co:here NLP Hackathon details

Join lablab and Co:here during 48h to innovate and build the new generation of NLP powered applications. Find all the relevant details below.

🗓️ Where and when

The hackathon starts on August 19th and ends on August 21st. Over the weekend, you'll have the opportunity to learn from Co:here and lablab experts during workshops, keynotes, and mentoring sessions. The hackathon will take place on the lablab.ai platform.

🦸🏼‍♂️ Who should participate?

Previous experience in AI is not required but welcomed. 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.

🔐 Access to Co:here API

To get started with Co:here NLP API please signup using the following link: https://cohere.ai/signup. Your trial API key are free and has and can handle up to 100 calls per minute free of charge. You can find more information about the API here.

😅 How about teams?

If you don’t have a team you will be able to match and team up with other participants around the world. Finding & creating teams can be done from the dashboard you can access after you enroll. We also recommend checking our Discord server to find teammates and discuss ideas. You can join it here

🛠️ 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.

🧠 Get prepared

To get prepared for the hackathon, we recommend you to start at our Cohere technology page where you can find all the relevant information about the API and how to use it plus cohere tutorials and cohere boilerplates.

  • Mathias Asberg
    Mentor

    Mathias Asberg

    Founder New Native

  • Ivan Zhang
    Speaker

    Ivan Zhang

    co:founder, CTO

  • Sandra Kublik
    Speaker

    Sandra Kublik

    Developer Relations at Cohere

  • Jakub Zakrzewski
    Organizer

    Jakub Zakrzewski

    Event Manager at New Native

  • Paweł Czech
    Speaker

    Paweł Czech

    Founder New Native

Who can join the Hackathon?

We welcome domain experts from all industries, not just AI/tech. Successful AI solutions require a combination of technical expertise and domain knowledge. Coding experience is recommended.

Do I need a team?

You are welcome to join as a team or solo, if solo. We encourage you to look for a team before the event. We recommend you to join the Deep Learning Labs Discord channel: https://discord.gg/gCuBwBB35k and posting in the #looking-for-team channel to get to know your potential future team members.

Do I need a Github account?

It is recommended, that at least one team member has a Github account. You can create one for free if you don't already have one.

Do I have to use Cohere's Generate?.

Generate is the main theme for this Hackathon. We plan to do events for Embed and Classify also. You can use other APIs but with Generate you will be able to get some additional points.

I have other questions.

Feel free to reach us on social media, or through our Discord channel.

Event Schedule

  • To be announced

Winner Submissions 🏆

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
medal
Cohere Coral
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
medal
Cohere Coral
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
medal
Cohere Coral

Submitted concepts, prototypes and pitches

Submissions from the teams participating in the Cohere AI Hackathon event and making it to the end 👊

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
Cohere Coral
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
Cohere Coral
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
Cohere Coral
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
Cohere Coral
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
medal
Cohere Coral
Get Help

Get Help

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

Get Help
Cohere Coral
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
medal
Cohere Coral
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
medal
Cohere Coral
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
Cohere Coral
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
Cohere Coral
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
Cohere Coral
CohereWinners Announced
ExecuTorch Hackathon

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ExecuTorch Hackathon

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