Author

Abbas Ali

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#machine learning Preprint Oct 2026

Evaluating Inference Compute for Generative AI: A Framework for Enterprise Workloads

LLM deployment is shifting from single-turn completion to agentic trajectories in which a model plans, calls tools, reads results and reasons at test time before acting. This inverts the economics of inference hardware: chat serving amortises weight reads across large batches, whereas agent trajectories are sequentiall...

Abbas Ali, Muhammad Ajmal Siddiqui, Moona Zahid · 0 citations

#artificial intelligence Review Sep 2026

EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise

Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic projects are expected to be cancelled. We ar...

Abbas Ali, Muhammad Ajmal Siddiqui, Moona Zahid · 0 citations