Jem

for The DEV Team

Posted on Sep 23 AI-assisted

Join the Kaggle Benchmarking Challenge: $2,500 in Prizes for FIVE Winners!

#devchallenge #kagglechallenge #ai #machinelearning

We're excited to team up with Kaggle for a brand new challenge!

Running through October 11, the Kaggle Benchmarking Challenge asks you to build a benchmark, run it against real models, and tell us what you found.

Today's models reason, write code, use tools, and hold multi-turn conversations, and their capabilities will likely change by tomorrow. Public leaderboards only tell you so much, so why not test them against the work you actually do? Kaggle Benchmarks lets you build your own evaluations and run them across a suite of models to see how they really stack up.

So pick something you've always wondered about, measure it, and show your work. There's a $2,500 prize pool up for grabs across five winners!

Read on to learn more.

Our Prompt

Build a Benchmark

Your mandate is to build a benchmark on Kaggle and write about what you learned.

Your post should cover:

What task(s) did you run? Tell us what you're benchmarking and why that capability or behavior caught your interest
Which models did you run it against? Let us know which models you tested and what made them the right lineup
What are the main insights? Share your findings, what surprised you, and what you'd measure next
Where can we see it? Submissions must include a link to your benchmark on Kaggle

The scope is wide open. Benchmark multi-step reasoning, code generation, tool use, image recognition, instruction following, or that one weird failure mode you keep running into. The best benchmarks usually come from a specific itch rather than a general one.

Kaggle Benchmarking Challenge Submission Template

The most compelling submissions will go beyond reporting numbers. Tell us what the results actually mean and what they changed about how you think about these models.

Judging Criteria

All submissions will be evaluated on:

Insights Shared: Do the findings teach us something real about how the models performed?
Writing Quality: Is the post clear, well-structured, and engaging to read?
Creativity in Approach: Is the benchmark itself an original or clever way to measure the capability?

Note: Submissions must include a link to the benchmark on Kaggle to be eligible.

Prizes 🏆

Five winners will each receive:

$500 USD cash prize
DEV++ Membership
Exclusive DEV Badge

All participants with a valid submission will receive a completion badge on their DEV profile.

Getting Started With Kaggle Benchmarks 🚀

New to Kaggle Benchmarks? Here's how it works:

Create a task: Tasks test an AI model's performance on a specific problem, from multi-step reasoning and code generation to tool use and image recognition.
Build a benchmark: Group your tasks into a benchmark and run it across a suite of models.
Check the leaderboard: See how the models stack up and share your results.

Prefer your own setup? You can now create tasks from your local development environment using the Kaggle CLI.

Helpful resources:

Read more from the Kaggle team right here on DEV:

Nicholas Kang (Nick) for Google AI

Jan 14

Introducing Community Benchmarks on Kaggle

#machinelearning #ai #kaggle #datascience

3 min read

Nicholas Kang (Nick) for Google AI

Jun 4

Kaggle is making AI benchmark creation effortless

#ai

3 min read

How To Participate

Build your benchmark on Kaggle, then publish a post on DEV using the submission template provided above and the required challenge tag: #kagglechallenge.

One submission per participant, so make it count!

Please review our judging criteria, rules, guidelines, and FAQ page before submitting so you understand our participation guidelines and official contest rules such as eligibility requirements.

Important Dates

September 23: Kaggle Benchmarking Challenge begins!
October 11: Submissions due at 11:59 PM PDT
November 5: Winners Announced

We can't wait to see what you measure. Questions about the challenge? Drop them in the comments below.

Good luck and happy benchmarking!

DEV Community