# Anki optimal settings

**URL:** <https://forums.ankiweb.net/t/anki-optimal-settings/26896>\
**Category:** Suggestions\
**Created:** [January 29, 2023, 11:44am UTC](https://forums.ankiweb.net/t/anki-optimal-settings/26896 "2023-01-29T11:44:25Z")\
**Posts on this page:** 1\
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**Author:** ![L.M.Sherlock](https://sea2.discourse-cdn.com/flex002/user_avatar/forums.ankiweb.net/l.m.sherlock/32/16770_2.png) [@L.M.Sherlock](https://forums.ankiweb.net/u/L.M.Sherlock)\
**Post date:** [January 29, 2023, 1:09pm UTC](https://forums.ankiweb.net/t/anki-optimal-settings/26896/2 "2023-01-29T13:09:34Z")

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You can use [FSRS4Anki](https://github.com/open-spaced-repetition/fsrs4anki) to optimize your study efficiency.

FSRS4Anki is A modern Anki [custom scheduling](https://faqs.ankiweb.net/the-2021-scheduler.html#add-ons-and-custom-scheduling) based on [Free Spaced Repetition Scheduler](https://github.com/open-spaced-repetition/fsrs4anki/wiki/Free-Spaced-Repetition-Scheduler) algorithm.

It consists of two main parts: scheduler and optimizer.

The scheduler is based on a variant of the DSR (Difficulty, Stability, Retrievability) model, which is used to predict memory states. The scheduler aims to achieve the requested retention for each card and each review.

The optimizer applies _Maximum Likelihood Estimation_ and _Backpropagation Through Time_ to estimate the stability of memory and learn the laws of memory from time-series review logs. Then, it can find the optimal retention to minimize the repetitions via the stochastic shortest path algorithm.

Here is the usage:

> [@How to use the next-generation spaced repetition algorithm FSRS on Anki?](https://forums.ankiweb.net/t/how-to-use-the-next-generation-spaced-repetition-algorithm-fsrs-on-anki/25415):
>
> The latest tutorial can be found here: [fsrs4anki/docs/tutorial.md at main · open-spaced-repetition/fsrs4anki · GitHub](https://github.com/open-spaced-repetition/fsrs4anki/blob/main/docs/tutorial.md)

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