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Perplexity has introduced its new AI model, Sonar, for Pro users, enhancing the platform's capabilities. Built on Meta's Llama 3.3 70B, Sonar is powered by Cerebras Inference, boasting impressive speed and improved factuality and readability. This model is designed to outperform existing models like OpenAI's GPT-4o and Anthropic's Claude 3.5.
Sonar's performance is highlighted by its ability to generate 1200 tokens per second, making it ten times faster than Google's Gemini 2.0 Flash. The introduction of the Sonar API in two variants, Sonar and Sonar Pro, offers users flexibility and affordability for various tasks. This launch positions Perplexity as a competitive player in the AI search engine market.
• Sonar outperforms GPT-4o and Claude 3.5 in factuality and readability.
• Sonar is ten times faster than Google's Gemini 2.0 Flash.
Cerebras Inference is described as the world's fastest AI inference engine, enhancing model performance.
Sonar can produce 1200 tokens per second, indicating its processing speed.
The Sonar API is available in two variants, catering to different user needs and tasks.
Perplexity is an AI search engine startup that launched the Sonar model for Pro users.
Cerebras powers both Sonar and Mistral's Le Chat, emphasizing its role in AI performance.
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