jzombie

Joined 8 years ago

Karma

356

Submissions

631

Member since

Jun 28

https://github.com/jzombie

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Recent submissions

Comment · 6 months ago

Do you foresee this being faster than SIMD for things like cosine similarity? Apologies if I missed that context somewhere.

Comment · 11 months ago

  Location: Florida on paper (U.S. citizen born & raised); Currently residing in Nicaragua
  Remote: Yes
  Willing to relocate: No
  Technologies: Rust, TypeScript, Python, Docker, some PyTorch / Tensorflow
  Résumé/CV: https://www.linkedin.com/in/jeremyharrisconsultant/
  Email: [email protected]

I'm timezone agnostic and on-call.

Comment · 1 year ago

I am using ChatGPT to help me build a language that has a domain-specific use case with non-LLM models. The interpreter is written in Rust and the language resembles a mix of Lisp and SQL.

Comment · 1 year ago

I have something similar.

https://github.com/jzombie/globcat.sh

Nothing fancy, but gets the job done.

Comment · 1 year ago

It's not a tradeoff that is worth it to me.

I don't want a Facebook extension to have access to arbitrary data that I copy and paste in my browser, which may be unrelated to the app I'm developing at the time.

Comment · 1 year ago

I just responded to an adjacent query with the info.

https://news.ycombinator.com/threads?id=jzombie#42072665

Comment · 1 year ago

It seems to do well for a lot of searches, though some are questionable, but I believe that I know why. I'm training some different autoencoders to give it some different perspectives.

The code lives here: https://github.com/jzombie/etf-matcher

The ad-hoc vector DB I've created lives here: https://github.com/jzombie/etf-matcher/blob/main/rust/src/da...

Comment · 2 years ago

> Likes/dislikes are stored in local storage and compared against all stories using cosine similarity to find the most relevant stories.

You're referring to using the embeddings for cosine similarity?

I am doing something similar with stocks. Taking several decades worth of 10-Q statements for a majority of stocks and weighted ETF holdings and using an autoencoder to generate embeddings that I run cosine and euclidean algorithms on via Rust WASM.

Comment · 2 years ago

Lynx wrapped in Docker:

https://github.com/jzombie/docker-lynx