👀 Looking for a team? Join the Telegram chat "Ogon AI Hackathons Community" to find a team

We invite you to participate in a groundbreaking challenge that tests the limits of artificial intelligence through the advanced capabilities of the Claude 3 Opus large language model. This hackathon is designed to inspire innovative solutions that leverage a substantial 200,000 token context window, a scale that enables complex and nuanced AI interactions. Our goal is to explore new applications and methodologies that significantly outperform those constrained by smaller contexts, such as a 32,000 token window.

Hackathon Challenge

Develop a creative and effective use of the Claude 3 Opus model that demonstrates the power of its extended context window 200,000 token. To guide your thought process, consider the following areas where a large context may provide unique advantages:

Few-shot learning with an extensive set of examples in input/output pairs.
Management and execution of a long list of detailed instructions.
Translation tasks that benefit from extensive grammar rules and numerous translation examples.
Handling extended interactions or conversations that require maintaining context over longer periods.
Analyzing and understanding relationships within substantially long texts.

💡 These examples are intended to spark your imagination—they are not exclusive. We encourage you to think broadly and creatively, whether by enhancing these ideas or by exploring entirely new applications where a large context window can be uniquely beneficial.

Who can participate

Participants who have reached the age of majority in their country of residence.

Prizes:

______________

Ideas and examples for task outcomes

A script utilizing the Claude 3 Opus API, complete with detailed prompts.
A dataset on which the output of the model is evaluated, demonstrating the effectiveness of the solution.
The outputs generated by your solution when applied to the evaluation dataset.
A comprehensive guide to the environment setup needed to replicate your results.

Judging Criteria

Novelty: Originality of the approach and creativity in addressing the problem.
The potential impact and practical value of the solution, Business Value
Relevance and practical usefulness of the fine-tuned model.
Performance: Improvement in performance compared to the baseline instruct model, assessed through specific metrics provided by the hackathon organizers.
Reproducibility: Ease of replicating the results using the provided scripts and documentation.
The clarity and effectiveness of the project presentation.

Resources Provided to participants:

Access to the Claude 3 Opus API for the duration of the hackathon

Additional resources, including starter code and guidelines for managing large contexts, will be made available to ensure that all teams can fully utilize the capabilities of the model.

Timeline:

The hackathon will take place over a period of 3 calendar days, starting from 24 November, 2024 to 26 November, 2024.

Support:

Participants can seek guidance and ask technical questions through the dedicated Telegram chat. Regular check-ins and tips will be provided to assist participants in navigating the challenges of model fine-tuning.

👀 Looking for a team? Join the Telegram chat "Ogon AI Hackathons Community" to find a team