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  2. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    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 ...

  3. Rage syndrome - Wikipedia

    en.wikipedia.org/wiki/Rage_syndrome

    Pat Miller wrote in Beware of the Dog: Positive Solutions for Aggressive Behavior in Dogs in 2017: "[Rage syndrome] captured the imagination of the dog world, and soon every dog with episodes of sudden, explosive aggression was tagged with the unfortunate "rage syndrome" label, especially if it was a Spaniel of any type." [16]

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  5. Canine discoid lupus erythematosus - Wikipedia

    en.wikipedia.org/wiki/Canine_discoid_lupus_ery...

    It occurs in humans [1] and cats, more frequently occurring in dogs. It was first described in dogs by Griffin and colleagues in 1979. [2] [3] DLE is one form of cutaneous lupus erythematosus (CLE). DLE occurs in dogs in two forms: a classical facial predominant form or generalized with other areas of the body affected.

  6. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    Reinforcement learning (RL) is an interdisciplinary area of machine learning and optimal control concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal.

  7. Proximal policy optimization - Wikipedia

    en.wikipedia.org/wiki/Proximal_Policy_Optimization

    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.

  8. Dog health - Wikipedia

    en.wikipedia.org/wiki/Dog_health

    Treatment of an infected dog is difficult, involving an attempt to poison the healthy worm with arsenic compounds without killing the weakened dog, and may not succeed. Prevention is recommended via the use of heartworm prophylactics , which contain a compound that kills the larvae immediately upon infection without harming the dog.

  9. Canine degenerative myelopathy - Wikipedia

    en.wikipedia.org/wiki/Canine_degenerative_myelopathy

    A dog with degenerative myelopathy often stands with its legs close together and may not correct an unusual foot position due to a lack of conscious proprioception. Canine degenerative myelopathy, also known as chronic degenerative radiculomyelopathy, is an incurable, progressive disease of the canine spinal cord that is similar in many ways to amyotrophic lateral sclerosis (ALS).

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