Trains but Doesn't Learn: A Post-Training Delivery Benchmark for LLM Agents as Forward-Deployed Engineers
Redefining the role of AI agents from experimental models to reliable, forward-deployed engineering assets.
Post-training is becoming a service (PTaaS): a customer hands an operator data and a goal, and a forward-deployed engineer (FDE) returns a fine-tuned, evaluated, and deployed model under a budget, a human-approval gate, and reproducibility requirements. Seating an LLM agent in th...
ArXiv CS.LG
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The rise of post-training as a service signals a pivotal shift from experimental model development to structured, reliable engineering workflows. By benchmarking LLM agents as forward-deployed engineers, researchers are establishing the necessary accountability standards to make autonomous AI agents viable for professional enterprise integration.
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