genanki VS fsrs4anki

I'm working with ChatGPT to create python scripts that generate Anki decks with Genanki.

Use genanki to create a note for each street, and then two cards (name, direction -> gif, and gif -> name, direction) for each note.

Anki has many types of cards, the main ones being the basic (memory trigger + answer) and cloze (one or more memory triggers embedded in an outline). This example uses the basic and reversed card, because both the 'question' and 'answer' can be a memory trigger for each other; if you want a simple, basic card you should consult the example at Genanki's README. I hope this script serves as at least a starting point for your own applications of programmable Anki, it is probably my main study method nowadays, and it got a whole more powerful after ChatGPT. Have fun with your coding.

If you want to do something really custom you may want to look at something like https://github.com/kerrickstaley/genanki (I haven't tried it).

Many people consider the prep time to be valuable itself as it usually involves you gaining understanding. That said, I don't really buy that argument and the vast majority of my cards these days are auto-generated using https://github.com/kerrickstaley/genanki.

It makes use of these frequency lists (have to be manually downloaded). It will make a request to the tatoeba api to grab a sentence (or multiple) including this word and if you would like it will also request an audio file from google translate (while the code is running a temporary recordings folder is created). It then packages it up into an anki deck using the genanki python module.

In the end I feed the data together with audio to another script that generate the Anki deck using genanki.

Yes, it's actually pretty easy to automate the process with genanki.

Since it looks like the export to Anki is still in progress, I can recommend using https://github.com/kerrickstaley/genanki -- it's been very stable over the 2 years I've been using it. I think it's a much better solution than csv or AnkiConnect, since it requires no actual work from the user except for opening an apkg.

If you're comfortable with Python, https://github.com/kerrickstaley/genanki is amazing. You can pull your content from any source, use templates for the question and answer format, and even add media to each card (image, audio).

For note-taking specifically, I've tried everything from plain old pen and paper to more modern solutions like Evernote and emacs (if you can call that modern), but nothing I've come across really beats Anki.

Although its main selling point is as a program for flashcards with spaced repetition, it comes with pretty much all the features of a good note-taking app, like tags, easy to organize, synchronization across devices (you can set up your own server), good interface for searching through your notes (which are stored in an Sqlite db if that matters), and yes, LaTeX. Not only that, it's also highly extendable with third-party plugins, so if there are features that you miss chances are there's a plugin for it. In other words, you can use it perfectly fine just taking notes. However, where it really shines is in all of this in combination the spaced repetition algorithm, which is now on steroids with FSRS[1][2]. The downside is that for this to be effective for the things you want to memorize, you'll have to write your notes to be suitable for a flashcard, but if you do it consistently you'll soon notice that you can store most of your notes in your head (needless to say, any student would greatly benefit from this). Now, if that's too much work, you can still just use the scheduling to have it remind you of your notes. Either way, even as someone who sometimes goes out of his way to shoehorn everything into Emacs, I can't see a reason not to use anki for note-taking.

[1]https://github.com/open-spaced-repetition/fsrs4anki/blob/mai...

[2]https://www.youtube.com/watch?v=OqRLqVRyIzc

I recommend the new algorithm of Anki: https://github.com/open-spaced-repetition/fsrs4anki

It would be nice if you could report this on Github. You can do it here: https://github.com/open-spaced-repetition/fsrs4anki/issues/n...

As for randomly getting a lot of reviews, honestly, no idea. You should submit an issue on github: https://github.com/open-spaced-repetition/fsrs4anki/issues/new/choose

u/PoppingWebster, here's a guide on how to use built-in FSRS in the latest version of Anki: https://github.com/open-spaced-repetition/fsrs4anki/blob/main/docs/tutorial.md

You can watch AnKing's video and read this guide.

Detailed info here: https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-mechanism-of-optimization

use FSRS tho

More information on the new scheduling algorithm:

FWIW I've been using it for the last 10 days and it's finally resolved some of my pain points about having to trial-and-error adjust the old scheduling algorithm, since the content of each deck can greatly affect what the optimal retention is. Now you can just retrain the weights for each deck you have and it will adapt appropriately. The paper is also definitely worth reading if you want to see some rigorous analysis of large-scale real-world spaced repetition science.

[0] https://github.com/open-spaced-repetition/fsrs4anki

[1] https://dl.acm.org/doi/10.1145/3534678.3539081?cid=996605471...

[1] https://github.com/open-spaced-repetition/fsrs4anki/wiki/The...