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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. 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.

  4. Hypertrophic osteodystrophy - Wikipedia

    en.wikipedia.org/wiki/Hypertrophic_osteodystrophy

    Hypertrophic Osteodystrophy (HOD) is a bone disease that occurs most often in fast-growing large and giant breed dogs; however, it also affects medium breed animals like the Australian Shepherd. The disorder is sometimes referred to as metaphyseal osteopathy , and typically first presents between the ages of 2 and 7 months. [ 1 ]

  5. 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.

  6. Tibial-plateau-leveling osteotomy - Wikipedia

    en.wikipedia.org/wiki/Tibial-plateau-leveling...

    Dog's titanium TPLO implant [1] TPLO , or tibial-plateau-leveling osteotomy , is a surgery performed on dogs to stabilize the stifle joint after ruptures of the cranial cruciate ligament (analogous to the anterior cruciate ligament [ACL] in humans, and sometimes colloquially called the same).

  7. Proximal policy optimization - Wikipedia

    en.wikipedia.org/wiki/Proximal_Policy_Optimization

    By definition, the advantage function is an estimate of the relative value for a selected action. If the output of this function is positive, it means that the action in question is better than the average return, so the possibilities of selecting that specific action will increase. The opposite is true for a negative advantage output. [1]

  8. 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).

  9. Canine hip dysplasia - Wikipedia

    en.wikipedia.org/wiki/Canine_hip_dysplasia

    In dogs, hip dysplasia is an abnormal formation of the hip socket that, in its more severe form, can eventually cause lameness and arthritis of the joints. It is a genetic (polygenic) trait that is affected by environmental factors.