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Image Credit: Salesforce

Benchmarking Voice and Text Agents for Enterprise Workflows

  • Enterprises are focusing on evaluating AI agents specifically for complex, domain-specific workflows through voice interfaces.
  • Salesforce AI Research & Engineering teams designed a benchmark to assess AI agents in text and voice environments for enterprise tasks.
  • The benchmark covers healthcare appointment management, financial transactions, inbound sales, and e-commerce order processing.
  • It emphasizes tool integration, protocol adherence, domain expertise, and voice robustness for comprehensive evaluation.
  • The benchmark architecture includes environments, tasks, participants, and metrics for reproducible evaluations.
  • It spans appointments management, financial transactions, inbound sales, and order management to test different enterprise operations.
  • Tasks vary in complexity from simple to multi-step processes, all human-verified to ensure realism and difficulty.
  • Agents are evaluated based on accuracy and efficiency in text and voice modalities, with noise injection for robustness testing.
  • Implementation details include Python usage, modular definitions, client-agent simulation, multi-provider support, and voice processing.
  • Experimental results highlighted challenges in financial transactions, voice vs. text accuracy, and performance in complex tasks.

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