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Often, limited data is available to determine appropriate charges for high limits of insurance. In order to price policies with high limits of insurance adequately, actuaries may first determine a "basic limit" premium and then apply increased limits factors. The basic limit is a lower limit of liability under which there is a more credible ...
This is a list of abbreviations used in medical prescriptions, including hospital orders (the patient-directed part of which is referred to as sig codes).This list does not include abbreviations for pharmaceuticals or drug name suffixes such as CD, CR, ER, XT (See Time release technology § List of abbreviations for those).
For AI alignment, reinforcement learning with human feedback (RLHF) was used with a combination of 1,418,091 Meta examples and seven smaller datasets. The average dialog depth was 3.9 in the Meta examples, 3.0 for Anthropic Helpful and Anthropic Harmless sets, and 1.0 for five other sets, including OpenAI Summarize, StackExchange, etc.
Bieber's Dictionary of Legal Abbreviations. 6th ed. Buffalo, NY: Hein, 2009. Bieber's Dictionary of Legal Abbreviations, 5th ed. at Google Books; Trinxet, Salvador. Trinxet Dictionary of Legal Abbreviations and Acronyms Series. A Law Reference Collection, 2011, ISBN 1624680003 and ISBN 978-1-62468-000-7; Trinxet, Salvador.
Car insurance is more than just a legal requirement or another expense to account for in your budget. Car insurance is a contract between you and an insurer that offers financial protection if you ...
Pronunciation follows convention outside the medical field, in which acronyms are generally pronounced as if they were a word (JAMA, SIDS), initialisms are generally pronounced as individual letters (DNA, SSRI), and abbreviations generally use the expansion (soln. = "solution", sup. = "superior").
California Insurance Code Section 676 requires insurers to provide a specific reason for non-renewal at least 75 days before the policy expires, allowing homeowners time to address issues or find ...
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves training a reward model to represent preferences, which can then be used to train other models through reinforcement learning .