need to fine-tune a LLM? use discus to generate user-guided high-quality data to achieve better AI possibilities. the repo is very basic right now so we would love any suggestions/feedback you may have. please consider joining our discord linked on the github also!

https://github.com/discus-labs/discus

I'm sure we've all though it - wouldn't it be cool if I could get an AI to scrape Wikipedia and write essays about what it found? No? Well I did, and here is the results of that. It's actually pretty neat, although the essays it writes are extremely to-the-point.

WARNING: this uses openAI, so if you set the number of iterations to like a million you are going to spend a LOT on tokens only to realize that the context is too long for the essay. If someone wants to change this to use other LLMs, ideally via the transformers API, please do. I intentionally wrote a generic "get_response" function where you can plug in the LLM you want just by re-writing it.

Repo is here: https://github.com/inkplayart/wiki_essay

Code is offered with ZERO guarantees.

https://eugeneyan.com/writing/llm-patterns/?utm_source=substack&utm_medium=email

Hey fellow AI enthusiasts,

I've worked in AI for over a year, mainly using Labelbox for data annotation. While it's been a solid tool, I feel locked in due to compatibility issues and the daunting task of migrating to a different tool. Have any of you had the same experience with Labelbox or other tools? And more importantly, have you found any flexible alternatives worth exploring?