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<!DOCTYPE html>
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                <h1 class="text-4xl md:text-5xl lg:text-6xl font-bold mb-6 leading-tight">
                    <span class="gradient-text">Powerful LLM APIs</span><br>
                    For Your Next Big Idea
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                    Access state-of-the-art language models through our simple, scalable API. 
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                                <p class="text-gray-700">Can you generate a poem about AI?</p>
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                <h2 class="text-3xl md:text-4xl font-bold mb-4">Why Choose <span class="gradient-text">NexusAI</span></h2>
                <p class="text-gray-600 max-w-2xl mx-auto">
                    Our API platform is designed to give developers the most advanced language models with the simplest integration.
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                    <h3 class="text-xl font-bold mb-3">Lightning Fast</h3>
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                        Response times under 300ms globally thanks to our distributed infrastructure and optimized models.
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                        SOC 2 compliant with end-to-end encryption. Your data never trains our models without permission.
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                    <h3 class="text-xl font-bold mb-3">Customizable</h3>
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                        Fine-tune models for your specific use case or bring your own trained models to our platform.
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                        From 1 to 1 million requests per second, our infrastructure scales seamlessly with your needs.
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                        Comprehensive documentation, SDKs in 8 languages, and dedicated developer support.
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                    <h3 class="text-xl font-bold mb-3">Cutting Edge</h3>
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                        Regular model updates to ensure you always have access to the latest AI breakthroughs.
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                    <p class="text-gray-600 mb-8">
                        Get started with just a few lines of code. Our API is designed for developers who value simplicity without sacrificing capability.
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const ai = new NexusAI('YOUR_API_KEY');

const response = await ai.generate({
  prompt: "Write a product description for smart glasses",
  max_tokens: 150,
  temperature: 0.7
});

console.log(response.choices[0].text);</code></pre>
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