Friday, September 2 2022 - 2:15 PM

Cohere AI Hackathon #2

Use NLP to Build Remarkable Things

We are excited to welcome you to the second episode of the Cohere AI Hackathon! In partnership with Cohere, we are giving lablab.ai community access to one of the most powerful AI language models on the market. Join us and innovate to build a better future for everyone!

Cohere AI Hackathon #2
NewNative is a artificial intelligence reaseach and development companyDigital Ocean cloud hostingOpenAI NLP transformer APINextgrid AI, top performing AI accelerator

Co:here

Co:here provides through it's API unprecedented access to affordable, easy-to-deploy large language models capable of powering the next generation of gamge-changing AI native applications.

Powerful NLP Model

Co:here trained their models on billions of words to understand the nuances and context markers of human communication.

Flexible API

The Co:here API work with many different libraries that fit every stack. Co:here's Python, Node, and Go SDKs make AI easy to integrate in your app.

Future of software

Build innovative and extremely powerful applications that were previously not possible. The future of software development are AI native.

Cohere Hackathon Details

The hackathon starts on September 2nd and ends on September 4th. There will be workshops, keynotes, and mentoring session hosted by Cohere experts over the weekend. During the hackathon, Cohere experts will be available on Cohere's co:mmunity Discord Server. That's where you'll direct questions to the mentors.

Who Can Participate?

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.

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.

Hackathon prizes

Mathias Asberg

Speaker, Mentor

Mathias Asberg

Founder New Native

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

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.

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

Who can join the Hackathon?

Do I need a team?

Do I need a Github account?

Do I have to use Cohere's Classify?.

I have other questions.

  • To be announced
Teams
BHARTIYA

BHARTIYA

AI

SAT Refugees

SAT Refugees

A team lol.

innovating turtle

innovating turtle

Looking to make a sock market related solution using embed and scraping news data in the process ... welcome to join my team . I am a beginner as well learning about AI

Overflow Assassins

Overflow Assassins

Join us and start the battle

Shine

Shine

#AI#ML#DL

Mark AI

Mark AI

Towards AI

AMSP

AMSP

A team of students who passionate about business, programing, Ai. We want to know how programming really is and use that knowledge to create our own project.

HighVariators

HighVariators

Join my team to participate in hackathon and meet super cool Ai buddies.

Kuties

Kuties

Hunger for ai

Nigama

Nigama

Just me

Cusat

Cusat

Students from cochin University of science and technology pursuing future in artificial intelligence.

Pandai

Pandai

We are Healthcare enthusiasts.

Chackteam

Chackteam

Trying to experience this hackathon.

Beethovens

Beethovens

Zzz

victos

victos

Noobs in NLP. We are trying to do something great.

Neophyte

Neophyte

Team-team

elecTRON

elecTRON

Hacking problems.

eeee

eeee

#

Mission kalam

Mission kalam

Franchise

THE BIGGEST ONE GUY TEAM

THE BIGGEST ONE GUY TEAM

The biggest team of a single person

Googol

Googol

A bunch of programmers fr fr

PowerPuff

PowerPuff

A group of like-minded students from Amsterdam

AKR

AKR

AI

Tech Monks

Tech Monks

Team of beginners

Sigmoid

Sigmoid

Always between 1 and 0

Something Interesting

Something Interesting

Learning new things and building a great product

DataSciXYZ

DataSciXYZ

DataSciXYZ for AI

Kloro

Kloro

Embed solutions for understanding Statistics

Solo it

Solo it

This is a one man army, planning to 5ake up on all the other teams.

Minecraft

Minecraft

u guess no one have the same name

Bit by Bit

Bit by Bit

A team trying to learn something new in the constantly evolving IT industry

Mihawk

Mihawk

Enthusiastic Beginners

Lone Wolf

Lone Wolf

Lone Wolf

RNTBCI_warranty

RNTBCI_warranty

A team of young talented from RNTBCI organizations

Dream IT

Dream IT

Dreamers of making the world a better place.

DreamDream

DreamDream

We have a dream.

Geeks

Geeks

Looking for people with creative thinking

Tumse Na Hopayega

Tumse Na Hopayega

Kaise ni hopayega

Dhruv

Dhruv

I am college student. I am here for learnig fanstatics thing so any one can join with my team and learn together.

QuaranTeam

QuaranTeam

#NLP

we da best music

we da best music

hottest beats in your area

Galaxy

Galaxy

Passionate programmers and developers aiming to build revolutionary projects which could help the real world

TEXTGEN

TEXTGEN

Welcome to TEXT-GEN, if you want to win you can join this team.

Nickil

Nickil

nickil

Team And I

Team And I

Team A.I. wants YOU to come join and have a fun learning experience. Looking for members that are somewhat knowledgeable in AI and ML concept but not required to be experts... My goal here is networking and learning primarily, and giving the challenge a good try. This is my first AI hackathon and I have experience programming in Python, Java, and C, along with LISP and other languages meant to teach logic for AI nowadays. I am a senior in a Bachelor's Computer Science program with a focus on AI and Machine learning. The team image is generated from DALLE2 which is pretty cool.

Red dart clan

Red dart clan

- AI/ML - Python/C++ -TensorFlow/Microsoft CNTK/Amazon Machine Learning

Noobs

Noobs

Noob

Techronic

Techronic

Creative problem solver

Just for fun

Just for fun

Just for fun

ThePathForward

ThePathForward

[to be revealed]

Innovate

Innovate

Looking to collaborate with those in Europe timezone please.

Tarinyoom

Tarinyoom

learning

💬IntelliChat

💬IntelliChat

Building the Future of Conversational Intelligence

Lord Christ

Lord Christ

Team UNKNOWNS

Submissions
intelliChat

intelliChat

IntelliChat is an app built specifically for Chat based and Conversational AI projects. *Who is this for?* - Businesses and Enterprises who are looking to optimize and enhance their Conversational AI Workflow.

💬IntelliChat

Tip of my Tongue by PowerPuff

Tip of my Tongue by PowerPuff

Web application that allows user to find and browse books based on short prompts, keywords or short story plots.

PowerPuff

All in one AI app

All in one AI app

This app is the combination of mutiples work that can be done using LLM. We tried to make the llm to do things by changing the prompt . There is a chatbot. We have text summarizer, that can make good summarization. We also implemented machine translation, we have 6 languages that you can choose from. There other things we have are code explanation and story generation. It is created using streamlit library. A free python library to run ml apps as web service.

DreamDream

Wayfinder

Wayfinder

A travel recommendation for users of any kind. Users are asked a series of questions related to their personality. Then, based on those responses, the site returns a location most relevant to their personal interests.

Googol

Learn visually

Learn visually

From a topic, generate a list of subtopics and explore them with a visual image for each. The subtopics are presented in a manageable way by showing only the most related subtopics at any given time. This naturally leads to exploring associatively like our brains are structured, from broad to deep. Each topic has a handy explanation in text from cohere generate, too!

ThePathForward

Cohere Analyze

Cohere Analyze

We all understand what Cohere Generate and Classify do. But embed ...?! Introducing ... Cohere Analyze. You can upload any csv file. You then have 3 options. EDA gives you an overview of the data and you can get some general exploratory data analysis. Cluster, allows you to do some group analysis, with keywords generated from the body of the text and using the titles. And finally, Search, allows you to query the data and retrieve the closest match. This has significant business value because now you can gain business insights using cluster that are non-trivial. You can search a knowledge-base or other internal data sources for information. Cohere Analyze is what we have all been waiting for, to better utilize Embed.

Innovate

SimpliFY

SimpliFY

The app lets you classify your text into Elementary, Intermediate and Advanced according to the level of complexity. Simplify functionality lets you generate an alternate simplified version of it.

AKR

IT Services and Solutions

IT Services and Solutions

Constantly changing and evolving solutions, services and products available in the telecom, mobility, and IT management industry create sourcing, evaluation, and selection complexities that SMBs (small and mid-sized businesses) are not always equipped to address due to limited time or resources. How do SMBs more easily and efficiently sort out the thousands of options available to them? Our solution is an IT product Service Recommender System which will help SMBs find verified solutions to simplify the sourcing, evaluation, and selection of telecom, mobility, and IT services and solutions. Input: SLA agreements Output: Classify the SLA agreements by Subscription and One-off

Lord Christ

TarinyoomBot

TarinyoomBot

Tarinyoom is a Discord chat bot that allows users to search for messages using a fuzzy search to better retrieve past messages. The bot uses the co:here API "Embed" tool to map discord messages onto their corresponding embedding vectors. These vectors are then stored in a back-end pinecone.io instance, so that their cosine similarities can be evaluated. The bot has two main commands: "/tsleuth" and "/tsearch <string>". "/tsleuth" instructs the bot to crawl the server that the command was issued in, storing the vector embeddings of any messages found as entries in the pinecone.io instance. "/tsearch <string>" instructs the bot to find the message whose vector embedding most closely resembles the vector embedding of the passed parameter, as evaluated by pinecone.io. Using these two commands, users can search for a past conversation with only a high-level recollection of the topics discussed, instead of having to exactly match to text in that conversation, as required by the current Discord search feature.

Tarinyoom

CohereWinners Announced

Enrolled

1031 /