Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update tutorial.md #621

Merged
merged 7 commits into from
Mar 13, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
8 changes: 4 additions & 4 deletions docs/tutorial.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
中文版请见:[Anki 新算法 FSRS 配置指南](https://zhuanlan.zhihu.com/p/664758200)

# Table of contents
- [The Ultra Short Version](the-ultra-short-version)
- [The Ultra Short Version](#the-ultra-short-version)
- [Step 1: Enable FSRS](#step-1-enable-fsrs)
- [Step 2: Configure FSRS settings](#step-2-configure-fsrs-settings)
- [Step 3: Find optimal parameters](#step-3-find-optimal-parameters)
Expand Down Expand Up @@ -45,7 +45,7 @@ The permissible range for desired retention is 0.70 to 0.97 (0.7 to 0.99 in Anki

Be conservative when adjusting this setting - higher values will greatly increase your workload, and lower values can be demoralizing when you forget a lot of material.

The following chart illustrates how the workload changes with retention. The exact shape of the curve depends on the user's parameters and learning habits.
The following chart illustrates how the workload changes with retention. **The exact shape of the curve depends on the user's parameters and learning habits.** To find the optimal retention for you, please use the "Compute optimal retention (experimental)" feature, which is explained in [Step 5](#step-5-optional-compute-optimal-retention).

![Workload and retention, again (small)](https://github.com/open-spaced-repetition/fsrs4anki/assets/83031600/e2b95037-593a-4633-8774-dd16cba5f48e)

Expand All @@ -66,11 +66,11 @@ You need to configure this value only if you have cards with missing or incomple

### Learning and re-learning steps

When FSRS is enabled, the learning and re-learning steps should be chosen in such a way that all the learning steps can be completed on the same day. This means that steps longer than or **equal** to 1 day should not be used. `23h` is not recommended because, while it's technically less than one day, it's very unlikely that you will be able to finish this step on the same day as your first review. In general, any steps longer than 12-14 hours are not recommended, since most people will not be able to finish such steps within the same day.
When FSRS is enabled, the learning and re-learning steps should be chosen in such a way that all the learning steps can be completed on the same day. In general, any steps longer than 12-14 hours are not recommended because most people will not be able to finish such steps on the same day as their first step. A reasonable learning step can be 10m, 15m, 20m or 30m.

The reason is that FSRS can determine more optimal intervals but the use of longer (re)learning steps doesn't allow FSRS to schedule the reviews, making the scheduling less optimal. In addition, if longer steps are used, there can be cases where the "Hard" interval exceeds the "Good" interval.

Secondly, the use of multiple short (re)learning steps is also discouraged. This is because research shows that same-day reviews have a negligible impact on long-term memory.
Secondly, the use of multiple short (re)learning steps is also discouraged. This is because research shows that same-day reviews have a negligible impact on long-term memory. However, if you notice that your retention for young cards is much lower than desired, adding more intraday learning steps (such as 2h or 4h) may be helpful.

![image](https://github.com/open-spaced-repetition/fsrs4anki/assets/32575846/a5780dca-4d0d-4382-9323-26e45cb6f002)

Expand Down