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Another alternative to RLHF called Direct Preference Optimization (DPO) has been proposed to learn human preferences. Like RLHF, it has been applied to align pre-trained large language models using human-generated preference data. Unlike RLHF, however, which first trains a separate intermediate model to understand what good outcomes look like ...
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Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent. Specifically, it is a policy gradient method, often used for deep RL when the policy network is very large. The predecessor to PPO, Trust Region Policy Optimization (TRPO), was published in 2015.
GEHA Solutions, formerly know as PPO USA, was formed in 1997 to market the following products outside federal markets: Connection Dental Network, Connection Vision powered by EyeMed, and Connection Hearing by HearPO. GEHA acquired Surety Life in 2012, giving GEHA flexibility to offer additional products to existing and new customers.
PPO. The Preferred Provider Organization plan is the most popular for those with employment-based insurance (currently 47% of them, in fact). PPOs allow the most flexibility in that people can ...
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