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AI21: Jamba Instruct

AI21: Jamba Instruct

  • 250K Context
  • 0.5/M Input Tokens
  • 0.7/M Output Tokens
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The Jamba-Instruct model, introduced by AI21 Labs, is an instruction-tuned variant of their hybrid SSM-Transformer Jamba model, specifically optimized for enterprise applications.

  • 256K Context Window: It can process extensive information, equivalent to a 400-page novel, which is beneficial for tasks involving large documents such as financial reports or legal documents
  • Safety and Accuracy: Jamba-Instruct is designed with enhanced safety features to ensure secure deployment in enterprise environments, reducing the risk and cost of implementation

Read their announcement to learn more.

Jamba has a knowledge cutoff of February 2024.

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