•  ...and benchmarks that measure realistic security capability on customer-representative tasks. Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows, and generate and curate the training data for training frontier models.... 
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    Mistral

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    9 zile în urmă
  •  ...adversarial learning, and fine-tuning — needed to make them reliable for planning and control. Research and implement methods for e.g. safe RL, constrained control, scenario planning and Bayesian RL, to develop agents that satisfy safety constraints during deployment.... 
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    Phaidra

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    11 de zile în urmă