# Chaiverse

- **Website:** <https://chaiverse.com>
- **Primary alias:** `chaiverse.com`

## Description

Chaiverse is an innovative Chai AI developer platform that offers a unique opportunity to train, submit, and evaluate models to win a share of a $1,000,000 prize pool. With just four lines of code, developers can deploy their LLM to millions of users and compete globally for cash prizes. The platform supports training techniques such as LoRA and datasets of your choosing, allowing you to fine-tune your language model.

Once you submit your model, Chaiverse will host it for free using its state-of-the-art proprietary inference engine and ensure its safety before serving it to millions of users, all in under five minutes. Models are evaluated based on user engagement, with the most engaging models winning cash rewards. Your models are monetized year-round, and you'll be rewarded for great write-ups, knowledge sharing, and bug bounties, fostering a collaborative community.

Chaiverse provides a unique opportunity for LLM developers to showcase their models to a wide audience, and with an indefinite timeline and a transition to profit sharing, the possibilities are endless. Join Chaiverse's platform today to build the next-generation LLM and compete for lucrative cash prizes.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/idY9Q4_Ely/w/820/h/221/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1720012859039)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Blue Ribbon | #0d6efd | accent |
| Black | #000000 | dark |
| Picasso | #fff59e | light |

## Fonts

- var(--bs-body-font-family) — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idY9Q4_Ely/w/1500/h/500/idgPQoGyTY.jpeg?c=1bxid64Mup7aczewSAYMX&t=1720012859396)

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_Source: <https://brandfetch.com/chaiverse.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._