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  2. Reinforcement learning from human feedback - Wikipedia

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

    RLHF has applications in various domains in machine learning, including natural language processing tasks such as text summarization and conversational agents, computer vision tasks like text-to-image models, and the development of video game bots. While RLHF is an effective method of training models to act better in accordance with human ...

  3. 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]

  4. File:RLHF diagram.svg - Wikipedia

    en.wikipedia.org/wiki/File:RLHF_diagram.svg

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  5. Dog - Wikipedia

    en.wikipedia.org/wiki/Dog

    The dog (Canis familiaris or Canis lupus familiaris) is a domesticated descendant of the gray wolf.Also called the domestic dog, it was selectively bred from an extinct population of wolves during the Late Pleistocene by hunter-gatherers.

  6. Detrended price oscillator - Wikipedia

    en.wikipedia.org/wiki/Detrended_price_oscillator

    The DPO is calculated by subtracting the simple moving average over an n day period and shifted (n / 2 + 1) days back from the price. To calculate the detrended price oscillator: [5] Decide on the time frame that you wish to analyze. Set n as half of that cycle period. Calculate a simple moving average for n periods. Calculate (n / 2 + 1).

  7. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    Two separate reward models were trained from these preferences for safety and helpfulness using Reinforcement learning from human feedback (RLHF). A major technical contribution is the departure from the exclusive use of Proximal Policy Optimization (PPO) for RLHF – a new technique based on Rejection sampling was used, followed by PPO.

  8. File:High School Biology 14-26.pdf - Wikipedia

    en.wikipedia.org/wiki/File:High_School_Biology...

    This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

  9. Phenotypic plasticity - Wikipedia

    en.wikipedia.org/wiki/Phenotypic_plasticity

    Phenotypic plasticity refers to some of the changes in an organism's behavior, morphology and physiology in response to a unique environment. [1] [2] Fundamental to the way in which organisms cope with environmental variation, phenotypic plasticity encompasses all types of environmentally induced changes (e.g. morphological, physiological, behavioural, phenological) that may or may not be ...

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    dpo and rlhf in dogs definition biology ppt pdf file video youtube mp4