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  2. Neural scaling law - Wikipedia

    en.wikipedia.org/wiki/Neural_scaling_law

    For Hex, 10x training-time compute trades for 15x test-time compute. [7] For Libratus for heads up no-limit Texas hold 'em , and Cicero for Diplomacy , and many other abstract games of partial information, inference-time searching improves performance at a similar tradeoff ratio, for up to 100,000x effective increase in training-time compute.

  3. Learning rate - Wikipedia

    en.wikipedia.org/wiki/Learning_rate

    There are many different learning rate schedules but the most common are time-based, step-based and exponential. [ 4 ] Decay serves to settle the learning in a nice place and avoid oscillations, a situation that may arise when a too high constant learning rate makes the learning jump back and forth over a minimum, and is controlled by a ...

  4. Counting steps or logging minutes? What is the best way to ...

    www.aol.com/counting-steps-logging-minutes-best...

    Counting steps vs. tracking time Hamaya said that, while both step counting and time recording are useful in portraying health status, each has its advantages and downsides.

  5. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    These methods are employed in the training of many iterative machine learning algorithms including neural networks. Prechelt gives the following summary of a naive implementation of holdout-based early stopping as follows: [9] Split the training data into a training set and a validation set, e.g. in a 2-to-1 proportion.

  6. Training large language models involves spending a vast amount of money purely on GPU time during model training. There may also be substantial costs borne by the startup when their models are ...

  7. Epoch (computing) - Wikipedia

    en.wikipedia.org/wiki/Epoch_(computing)

    Software timekeeping systems vary widely in the resolution of time measurement; some systems may use time units as large as a day, while others may use nanoseconds.For example, for an epoch date of midnight UTC (00:00) on 1 January 1900, and a time unit of a second, the time of the midnight (24:00) between 1 January 1900 and 2 January 1900 is represented by the number 86400, the number of ...

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  9. Unix time - Wikipedia

    en.wikipedia.org/wiki/Unix_time

    The Unix time 0 is exactly midnight UTC on 1 January 1970, with Unix time incrementing by 1 for every non-leap second after this. For example, 00:00:00 UTC on 1 January 1971 is represented in Unix time as 31 536 000. Negative values, on systems that support them, indicate times before the Unix epoch, with the value decreasing by 1 for every non ...