lit VS obsidian-ava

I'd also suggest looking at your data sample, and how your model handles it, with some kind of exploratory analysis tool. Google's Language Interpretability Tool might work for your scenario. This can give you a lot of ideas about how to prepare the data better.

Visualize and understand NLP models with the Language Interpretability Tool The Language Interpretability Tool (LIT) is for researchers and practitioners looking to understand NLP model behavior through a visual, interactive, and extensible tool. Use LIT to ask and answer questions like: What kind of examples does my model perform poorly on? Why did my model make this prediction? Can it attribute it to adversarial behavior, or undesirable priors from the training set? Does my model behave consistently if I change things like textual style, verb tense, or pronoun gender? LIT contains many built-in capabilities but is also customizable, with the ability to add custom interpretability techniques, metrics calculations, counterfactual generators, visualizations, and more.

Use LIT https://github.com/PAIR-code/lit

Today we’re going to learn how to build a recommendation system for a social publishing platform like Medium. I wanted to share what I learned building the popular Obsidian plugin AVA that recommends your notes.

I just search Obsidian plugins and there are 3 that might work for you:

- https://github.com/louis030195/obsidian-ava

- https://github.com/brianpetro/obsidian-smart-connections

You can try https://app.anotherai.co which does exactly this

is this a paid service? the github repo is public but links to a paid service or plugin

Hi foks Louis & Ben here.

We just wanted to share Embedbase. Embedbase is an open-source api to easily create, store, and rerieve embeddings.

It started out as an internal api for an Obsidian plugin we developed called [AVA](https://github.com/louis030195/obsidian-ava). We use it in AVA to find similar notes ([see small demo](https://user-images.githubusercontent.com/25003283/213157399...)), but you can potentially use it to do anything that openai embeddings can do.

Right now it's really quite barebones and basically just abstracts the openai embeddings api & pinecone, but we're planning on making it easy to work with whatever database or auth mechanism.

You can have a look at the github repo here:

This plugin might do the trick: https://github.com/louis030195/obsidian-ava. I don`t use it myself, but there is a "Suggest Tags" command.

Obsidian AVA (summarization, write & rewrite)