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Hackathon awaits you, let's dive into generative AI

Join and collaborate with like-minded colleagues from Hungarian, Czech, Slovakian and Romanian offices to design the most impactful solutions.

Register until 2nd May 12.00

What is Hackhaton?

For those who join the Hackathon for the first time, here is what you can expect:

 

1. Apply individually or in teams (max. 4-5 members) using the link below.

2. The teams have 24 hours to develop an MVP in the given topics.

3. Bring your sleeping bags; we will sleep in the office. Food, drinks, all the equipment and a good mood are granted😎

 

4. You have the chance to consult with professional mentors and ask for some help.

5. The teams present the MVP to an external professional jury in 10 minutes.

6. Finshape will develop the WINNING team's solution!

General Information

Date

May 23rd - 24th, 2024

Locations

Same event, different locations. Presentations will be streamed online.

  • Prague
  • Budapest
  • Cluj Napoca
  • Košice/Prešov

Contacts

Why Participate?

Make impact

Your ideas could shape the future of our company and the digital banking industry. Our Generative AI team at Finshape is committed to collaborating closely with you to develop an MVP that we can launch.

Collaborate

Work alongside like-minded individuals passionate about technology and innovation.

Earn recognition

Showcase your skills and gain visibility among mentors, leaders within the company, and the jury.

Grow

A unique opportunity to learn, experiment, and refine your abilities in Generative AI and related technologies.

Have Fun

Engage in a collaborative and creative environment while tackling real-world challenges.

Challenge Themes

Choose the topic in which you'd like to build your solution.

1. Digital Banking Innovator

Create cutting-edge digital banking features or services powered by Generative AI. Alternatively, devise tools that enable banks to customize our digital banking platform with ease or accelerate the delivery of digital banking projects without compromising quality.

2. Employee Empowerment Engine

Develop a Generative AI application that fosters employees' professional development, enhances their well-being, and streamlines daily tasks, thereby making our company an even better place to work.

Mark your calendars and get ready to Hackathon

Register until 2nd May 12.00

FAQs

Can I/We receive any technical guidance?

You may use any LLM. You can integrate an LLM via API or construct your application using off-the-shelf applications. Finshape will provide access to the OpenAI API, which is available for use, though not mandatory.

 

Each team will be allocated one OpenAI API key. Budget Allocation: There is a spending limit of $100 per team.

 

Tokenizer: https://platform.openai.com/tokenizer

 

Pricing: https://openai.com/pricing

 

For comprehensive API documentation, refer to: https://platform.openai.com/docs/api-reference 


The Langchain framework is an option, however, with a significant learning curve: https://python.langchain.com/docs/get_started/introduction 

 

Teams can use any open-source model but should be conscious of performance and GPU usage.

 

We advise downloading and testing open-source models before the start of the challenge.

What are the submission requirements?

Each team must submit a working prototype/demo of their application.


Each team is expected to explain the rationale behind their chosen use case, including the factors that influenced their decision, and also provide a list of other ideas they considered but rejected.


Each team is required to outline their concept, technology stack, and the potential impact on our company or the digital banking sector.

 

This should be formatted as a presentation, for which any software tool may be utilized.

What are the presentation requirements?

The demonstration should be concise, not exceeding 10 minutes.


The Q&A session lasts 5 minutes.


Please note that the list of discarded use cases should not be included in the live demo.

You will be provided with a form to submit this information at a later stage.