IntelliOptima
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    • Quickstart
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    • Create Teams
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    • Utilize Ai's in your chatroom
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    • Files
  • Which Ai to use ?
    • Available AI models
      • OpenAI
        • GPT-4o
        • GPT-4o-Mini
        • DALL-E-3
      • Anthropic
        • Claude-3-Haiku
        • Claude-3.5-Sonnet
      • Mistral AI
        • Mistral Codestral
        • Mistral Nemo
        • Mistral Large
      • Perplexity
        • Perplexity-Sonar-Small-Online
        • Perplexity-Sonar-Large-Online
        • Perplexity-Sonar-Huge-Online
        • Perplexity-Sonar-Small-Chat
        • Perplexity-Sonar-Large-Chat
      • Gemini
        • Gemini 1.5 Pro
        • Gemini 1.5 Flash
      • Meta
        • Meta Llama 3.1 70b
        • Meta Llama 3.1 405b
        • Meta Llama 3.2 90b
      • Ideogram
        • Ideogram V2
        • Ideogram V2 Turbo
      • Stability AI
        • Stable Diffusion Image Core
        • Stable Diffusion Image Ultra
      • Flux AI
        • FLUX PRO V1.1
    • Generative Tasks
    • Text Generative Tasks
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  • Description:
  • Key Features
  • Use Cases
  • Limitations
  1. Which Ai to use ?
  2. Available AI models
  3. Perplexity

Perplexity-Sonar-Huge-Online

Description:

The Huge model is one of Perplexity's most powerful offerings, designed to deliver high-performance results for complex queries.

It is particularly well-suited for chat-based interactions where responsiveness is crucial. By leveraging a vast amount of data from the internet, Sonar-Online family provides accurate answers in real-time, making it suitable for users who require comprehensive information.

Key Features

  • Token Capacity: Supports a context window of 127,072 tokens, allowing it to handle extensive input data efficiently. ( on IntelliOptima we allow 50k characters per input *)

  • Parameter Count: Contains 70 billion parameters, enabling sophisticated reasoning and nuanced understanding of queries.

  • Real-Time Internet Access: Continuously retrieves up-to-date information from the web, ensuring that responses reflect the latest knowledge.

Use Cases

  • Academic Research: Ideal for researchers needing detailed insights and references on complex topics.

  • Technical Support: Useful for generating accurate troubleshooting steps and technical documentation.

Limitations

  • High Computational Requirements: Requires significant resources to operate effectively, which may limit accessibility for some users.

  • Cost Implications: Higher operational costs associated with using such a large model may deter budget-sensitive users.

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Last updated 8 months ago