About the Contest

Passionate about AI and data quality? This blogathon offers a golden opportunity to enhance your writing skills and delve into these vital domains. Don't miss your chance to elevate your writing skills in the AI field, exploring the essential role of data quality in LLMs (large language models) and AI-based reasoning engines.

Contest Has Ended

Thank You For Participating

Submissions

100+

Submissions

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Reviewers

2

Reviewers

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Prizes

50k

₹ Worth Prizes

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Days

90

Days

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Winners
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Thank you for the amazing response! The submissions were really good - every story was unique and excellent in their own way. Hence, it was challenging for the review team to rate and select the winners from excellent submissions!!

The review team considered many factors including technical depth, real-time use case/relevance of project, storytelling/documentation clarity, and code samples on GitHub.

The top 3 winners

The next 7 winners

We will directly contact the winners for distributing the prizes.

Submission Topics

Large Language Models

Explore the role of data in improving accuracy of large language models like OpenAI's GPT, Llama and others. Especially rectifying mislabeled data, and ensuring precise and reliable language model results.

Improving Data Quality on Datasets

Discuss data quality problems about Data quality in Multi-modal datasets.

Improving Machine Learning Accuracy

Share your knowledge about using machine learning to enhance model accuracy and reliability. Focus on methods for managing noisy or incorrect data labels and their effect on model outcomes.

Business Intelligence and Analytics

Write about the significance of accurate data in business intelligence and analytics. Discuss how clean data can lead to more precise conclusions and actionable insights.

Open Source Projects

For writing your blogs, check out and consider using these open source projects.

Cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Cleanvision

Automatically find issues in image datasets and practice data-centric computer vision.

Participation Guidelines & Tips

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  • Write technical blogs on one or multiple themes mentioned above.
  • Your blog must cover examples, scenarios, or relevant use-cases of the technology.
  • Specify the themes on which you are writing.
  • You are allowed to publish any number of blogs.
  • There are no restrictions on the choice of your blogging platform. Publish your blogs on any platform like Medium, Hackernoon, Dzone, etc.
  • The blogs must be publicly accessible to anyone visiting the submitted blog page. You can promote your blogs via social media, emails, newsletters, etc.
  • This would help increase the visibility and reach. You can submit blog entries only as an individual.
  • Team participation is not eligible. The top 10 blogs will be shared from Cleanlab's official social handles.

What Makes Your Story Qualified?

Do's and Dont's

Note: The bottom of every blog should have a link to: Cleanlab and state that Cleanlab Studio can be tried for free on any image, text, or tabular dataset.

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Participate To Win Prizes

Azure Exam Pass

Surface X Pro
Cool Swag Pack
Azure Exam Pass

Timeline

  1. Submissions open
  2. Submission last date
  3. Content Review
  4. Winners Announced
  5. Prize Distribution
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Reviewers

Our AI enthusiasts are taking the lead in evaluating your blogs, so bring your A-game and impress our tech-savvy reviewers.

Aravind Putrevu

Dev GTM Advisor

Christopher Mauck

Data Scientist

Join Our Community

Explore the rich opportunities for learning and upskilling within Cleanlab's Community. Let's connect, collaborate, and elevate your knowledge with like-minded professionals. Join the "blogathon-2023" channel on Slack Workspace.