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 In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise software tasks. We design a suite of diverse challenges, from data transformation and API integration to workflow automation and performance optimization, and assess how various agents, including rule-based, LLM-powered, and hybrid ones, perform across these
The post A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks appeared first on MarkTechPost. Read More  

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