Hack Five For members

The Fifth Elephant Open Source AI Hackathon 2024

GenAI makers and creators contest and showcase

Make a submission

Accepting submissions till 15 Feb 2024, 11:00 PM

Hasura, Bangalore

Tickets

Loading…

Overview

The Fifth Elephant Open Source AI Hackathon started on 5 January 2024 and reached its finale with a Demo Day event on 12 April 2024, when the winners of the two month long contest were chosen.

The aim of this hackathon was to encourage individuals/teams to apply and incubate innovative AI ideas/use cases and publish them as open source projects.

  • The hackathon contest participants worked with mentors for over two months to refine their ideas, and advance them to a stage where they are viable projects that could be pursued beyond the hackathon.
  • the project teams worked on AI’s application in education, accessibility, creative expression, scientific research, languages, under the overall theme of AI for India.
  • competing projects were judged on impact and relevance, innovation and creativity, technical soundness and code quality, scope of expansion, reusability and ease of adoption.

📋 Read Hack5 V1 Report

As a campaign to raise awareness and drive up developer adoption of AI and open source technologies, the hackathon was a great success. It helped shine light on the agility that open source technology enables for creative and innovative developers.

Open Source AI Hackathon Winners

Testimonials

“...each one of the contestants put in tremendous effort. And we saw the passion in every person, trying to do things not for winning, but about really building your projects. After a long time, I am attending such a hackathon where young folks are so passionate about building. Kudos to all of you”.
- Rukma Talwadker, Jury Member, Senior Principal Scientist at Games 24x7

“I really enjoyed judging all the projects - lot of interesting work. The Fifth Elephant has done a great job with mentoring and curating this hackathon”.
- Tanuja Ganu, Jury Member, Principal RSDE Manager, Microsoft India

“The hallmark of this hackathon was getting younger people to code for a longer period of time as opposed to a typical hackathon which turns out to be about — how do you build the coolest thing in the shortest period of time”.
- Sumod Mohan, mentor.

“What is impressive about this particular hackathon is, it is not just about cool ideas and fancy demos. It is actually about building a product or a software or a model that can live beyond the demo (and contest).”
- Soma Dhavala, team member at Project Seshu

“It was only through putting my ideas to code that I learnt what the specificity of implementing these (LLMs) were. I began my journey with a sense of hope and commitment towards FOSS principles, and the Hackathon only reinforced my belief that collaboration maketh a better product.”
- Sankalp Srivastava, Creator of Project Schematise

Key highlights from the hackathon

During the course of 12 weeks, the hackathon involved:

  1. Started off on 5 January 2024 and invited open source ideas and projects.
  2. Mentorship sessions in February for all project teams. Mentors included Abhishek H Mishra aka Tokenbender, Arvind Saraf, Bharat Shetty, Ramesh Hariharan, Sidharth Ramachandran, Simrat Hanspal, Sumod Mohan and Vinayak Hegde.
  3. The 10 best from 40 applications were chosen for the Demo Showcase.
  4. An involved peer-review process helped further refine projects between March 1st - 15th, followed by extensive rehearsals from April 8th - 10th, 2024.
  5. On Demo Showcase Day - we had project demos from 10 qualifying teams; 5 project winners were chosen on 12 April 2024.

The Prizes

🏆 Five prizes of ₹1,00,000 (One lakh rupees) per theme, were awarded to winning projects.
The prizes for this hackathon have been sponsored by Meta.

Note: Apart from the contest prizes, Microsoft has offered internships to the contestants.

Jury

  1. Ashok Hariharan heads data and business intelligence at United Nations Volunteers.
  2. Rukma Talwadker is Senior principal scientist at Games24x7.
  3. Shubha Shedthikere is a Senior Manager in the Data Science team at Swiggy.
  4. Sunil Abraham is the Public Policy Director for Data Economy and Emerging Tech at Meta, India.
  5. Tanuja Ganu is a Principal RSDE Manager at Microsoft Research India.

Mentors

  1. Abhishek Mishra is a is creator of CodeCherryPop LLM series.
  2. Arvind Saraf is a computer scientist, engineering leader, entrepreneur trained at IIT, MIT and Google.
  3. Simrat Hanspal is currently spearheading AI product strategy at Hasura.
  4. Sumod Mohan is the co-founder and CEO of AutoInfer.

Editors

About The Fifth Elephant

The Fifth Elephant is a community of practitioners, who share feedback on data, AI and ML practices in the industry. If you like the work that The Fifth Elephant does and want to support its activities - review of Papers, Books, building the innovation ecosystem in India through hackathons and conferences - contribute by picking up a membership.

Contact

💬 Post a comment with your questions here, or join The Fifth Elephant Telegram group and the WhatsApp group.

Follow @fifthel on Twitter.

📞 For any inquiries, call The Fifth Elephant at +91-7676332020.

sponsor image

Hosted by

The Fifth Elephant hackathons

Supported by

Host

All about data science and machine learning

Venue host

Welcome to the events page for events hosted at The Terrace @ Hasura. more

Partner

Providing all founders, at any stage, with free resources to build a successful startup.
Sugarcane AI

Sugarcane AI

@sugarcaneai

OpenSource Prompt IDE to create, version, backtest, deploy, share and monetize prompt packages

Submitted Nov 20, 2023

Problem

In LLM world, the prompt is the input to the LLM and the output is generated text/image/audio/video. But when it comes to automation using the prompts, there are many problems faced by developers in Production Environments.

  • Accuracy: Prompt on generalised LLMs like OpenAI, llama2 offers lower accuracy from 50-90% depends on what kind of prompts.
  • Cost: Increasing the accuracy of prompt takes time, data and gpu, and its iterative and costly affair
  • Interoperability: Upgrading the underlying llm or moving to differing variants break the prompt accuracy, so maintainnance become a major headache for enginnering teams
  • Reusability: Since there is no way to package and share a prompt, developers around the world are reinventing the wheel.
  • Knowledge Upgradation: Base LLMs offers have 6-12 old months information.

Overall 80% of developer bandwith and server cost is spend in fighting LLM Selection, Prompt Fine tunning and achieving production level accuracy.

Solution

Sugarcane AI is a Prompt IDE that helps solves all of the problems by bringing the Micro Services architecture in the LLM World. Sugarcane AI offers Open source Prompt IDE to build, version, backtest, deploy, share high performance, and ready to use prompts based packages which are available over APIs. All the prompt executions are logged for further dataset creation and It further enables the train the Task Specific LLMs AKA Micro LLms, based on the prompt Package data. These Micro LLMs helps achieve better performance and accuracy at much lower cost. Similar to npm, a prompt package can be listed on registry and can even be sold on marketplace, enables faster development of LLMs apps in a reliable way.

Sugarcane AI is on a mission to upskill/educate 10 million future prompt developers and which will contribute in the prompt package creationa and maintainance. Using these prompt packages, a LLM can be build upto 20x faster.

With a developer-centric approach, the opensource project focuses on solving prompt accuracy problems and enhancing developer productivity by adopting a microservices and collaborative approach for LLM application development. It will ensure performance and reliability through the open-source community of prompt developers worldwide.

*Prompt Package: An npm-like package containing LLM configs, prompt templates, and underlying datasets and examples.
**Micro LLMs: Task-specific Fine-Tuned LLMs trained on smaller and targeted datasets.

Track: AI in education: With this project, we are offering a Prompt IDE which is easy to use playground for prompt enginners beginners and they can create their first prompt App just by writing a prompt.

Github: Prompt IDE: https://github.com/sugarcane-ai/sugarcane-ai/
Demo Video https://sugarcaneai.dev/demo/
Live Demo: https://play.sugarcaneai.dev/
username: demo
pass: demo123

Comments

{{ gettext('Login to leave a comment') }}

{{ gettext('Post a comment…') }}
{{ gettext('New comment') }}
{{ formTitle }}

{{ errorMsg }}

{{ gettext('No comments posted yet') }}

Make a submission

Accepting submissions till 15 Feb 2024, 11:00 PM

Hasura, Bangalore

Hosted by

The Fifth Elephant hackathons

Supported by

Host

All about data science and machine learning

Venue host

Welcome to the events page for events hosted at The Terrace @ Hasura. more

Partner

Providing all founders, at any stage, with free resources to build a successful startup.