5x Throughput for generative AI inference, save 75% cost
In-depth copilot in different professional fields
One-stop GenAI Dev tools from domain adoption to deployment
New series of AI models designed to spend more time thinking before they respond.
A powerful dialogue model that is continuous pre-trained and domain adoption based on a large amount of high-quality professional data and synthetic CoT data.
A small model trained based on knowledge distillation by original Aqua, narrowing down the model size but keep strong conversational capabilities and bring cost-effectiveness.
Focus on models that enhance AI reasoning capabilities and provide a more comprehensive and accurate answer to the user's question.
Faster, smaller, and lower-cost AI resoning model, which is suitable for small-scale applications and scenarios with limited resources.
POWERED BY
Synthetic data service can save 5 months in data preparation, increase training success rates and customer satisfaction by over 90%, and supports full parameter and LoRA fine-tuning.
Optimizing computing and storage bottlenecks separately for transformer model architecture brings 200% higher throughput than vLLM.
On-Prem Solution is Available
Check on-prem solution hardware vendors that have partnered with UnieAICheck the price of on-prem solutionChat & RAG
Coding and render
Design architecture
Build your AI Agent
Easy to Deploy to your web
1
2 export default function Page() {
3 return (
4 <div className="h-screen">
5 <script
6 dangerouslySetInnerHTML={{
7 __html: `
8 window.auth = 'YOUR_API_KEY';
9 window.model = 'YOUR_AGENT_ID';
10 `,
11 }} ></script>
12 <script src="https://floatchat.pages.dev/floating-chat.bundle.js"></script>
13 </div>
14 );
15 }
16 
UnieAI Research
2024/10/01
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