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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. 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).

  4. List of veterinary drugs - Wikipedia

    en.wikipedia.org/wiki/List_of_veterinary_drugs

    pergolide – dopamine receptor agonist used for the treatment of pituitary pars intermedia dysfunction in horses; phenobarbital – anti-convulsant used for seizures; phenylbutazone – nonsteroidal anti-inflammatory drug (NSAID) phenylpropanolamine – controls urinary incontinence in dogs

  5. What Are the Possible Treatments for Cancer on My Dog's Jaw?

    www.aol.com/possible-treatments-cancer-dogs-jaw...

    Dogs with this kind of cancer that have surgery usually only survive 3 to 18 months, depending on how advanced the cancer is when found (1). Squamous cell carcinoma: This is a good possibility ...

  6. 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.

  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.