CHAIVERSE
Crowdsourcing AGI
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Deploy your LLM to millions of users with just 4 lines of
code and compete globally to win cash prizes.
Paid Out So Far
$ 132,000
Total Cash Prize
$ 1 MILLION
Python
1
>
import chaiverse as
chai
2
>
parameters = {'model_repo': model_url,'model_name':
'my-model'}
3
>
submitter =
chai.ModelSubmitter()
4
>
submission_id =
submitter.submit(parameters)
Vietanh
85%
Thumbs Up
98%
Safety
1
Rank
Train your model
Combine your favourite training technique such as LoRA with
any dataset of your choosing, in order to finetune your
language model.
Submit your model
We'll package your model up and host it for free using our
state of the art proprietary inference engine. After ensuring
safety of your model we will directly to millions of Chai
users.
Compete and win
Your model will be pitted against others, and evaluated
against a simple metric: did the user enjoy the conversation?
The most engaging models win!
MONETIZATION
Your models are monetized year-round via a flat pay-out
structure. This means that your cash reward is calculated in
proportion to how engaging your model is.
In addition, in order to foster a collaborative community,
we reward great write-ups and knowledge sharing, and also
run regular bug bounties.
VIEW LEADERBOARD
Vietanh
85%
Thumbs Up
98%
Safety
1
Rank
Wendy Hoang
83%
Thumbs Up
97%
Safety
2
Rank
Yallen
82%
Thumbs Up
92%
Safety
3
Rank
Charles
80%
Thumbs Up
99%
Safety
4
Rank
Models submitted
3256
$1,000,000
Cash prizes
Active Competitors
145
$132,000
Payouts So Far
HELP US BUILD THE NEXT GENERATION LLM
FAQ
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