Benchmark small models on low-resource languages
Open benchmarks for how well small, cheap models handle languages with little training data.
Spending
Every dollar of this fund is accounted for.
Backers' money never becomes cash. It becomes spend-capped AI keys, and the usage below comes from OpenAI and Anthropic, not from the creator. How this works
Nothing to show yet
Contributions stay in escrow until contributors vote a proposal through. Once credit is released to a developer, this section shows where every dollar goes — straight from OpenAI and Anthropic.
Held as AI credit for the developer contributors vote for — never paid out as cash.
Contribute AI credit
Propose to do the work
Proposals open once the fund reaches its target.
$1,390.00 to go.
Maths teacher for 15 years, now building tools for schools with one teacher and forty kids.
Discussion (0)
Questions for the creator, ideas for proposals, or anything contributors should weigh up.
Sign in to leave a comment.
No comments yet.