gpt-json VS emdash

I did a POC project with it recently. The guidance on gpt-3.5-turbo and gpt-4 models isn't as functional as plain gpt-3. I found I had better results using https://github.com/piercefreeman/gpt-json and it doesn't require multiple calls to the API. Not as feature filled, but it may meet your needs

Gpt-json: Structured and typehinted GPT responses in Python

I have a side project that aims to organize your ebook highlight collections with on-device semantic search. [1] Right now it only indexes your own content but I'd like to add a mode that allows you to share your collection and let others find relevant ideas via semantic search -- a discovery platform for ideas found in books. It's open source if you want a sense of how it works now. [2]

[1] https://emdash.ai/

Two personal projects I'd like to get fully-baked eventually:

https://emdash.ai

I built a tool for myself for the purpose of grokking ideas from books called Emdash [1]. Over the years I've collected reams of highlights from books and articles but until recently, rarely reviewed or absorbed them. The core of this app uses on-device ML to show related passages with similar ideas from other books you've read, and I find that going broad and exploring concepts from different angles really helps in comprehension.

I'm testing out a summarization/rephrase feature backed by LLMs that you can try in the demo. In HN fashion I'm trying to build this openly and gather feedback to see what works. I'd like to push this further in the active direction the article mentions with something like a Socratic dialogue mode where you're nudged to re-explain and examine ideas.

If anyone uses this thing/has feedback, let me know. Source is available too [2].

[1] https://emdash.ai

Emdash - Use on-device AI to learn more from your book/article highlights.

And the source of course: https://github.com/dmotz/emdash