Dragonish

I am using Mistral 7b Instruct for text summary and some light "assistant" type chatting for the last several months. I have been pleased at how accurate it is for my needs, especially given it's size.

I recall alot of trial and error to find models that were compatible with the version of llama-cpp-python that oobabooga uses (at any given time). GGUF should have made the model format (and therefore model selection) more simple, but i imagine there are still nuances that make it more difficult than it should be to find a working model for a noob.

Best of luck, let us know how it goes

The Earth Species Project publishes papers and code if anyone is interested in learning more about this work.

VS Code's extension system makes it pretty easy to build your own code snippet extension. I use my own private extension to easily "generate" different types of markdown files (ie readme vs a troubleshooting guide) from my personalized snippets.

I agree that data staleness is a limiting factor. Depending on your needs and technical proficiency you could use use their zimit service (limited in the number of links it follows). The zimit tool is oss and on github, so you can run the it yourself to keep the sites you are interested in up to date in your local kiwix

While not a solution right now, I just want to add that the general transit feed spec aims to solve the data interoperability of different transit systems. The transit system keeps a publicly accessible zip file up to date, and then anyone can pull/parse the schedule/prediction data in a consistent way across transit systems. I know in the us adoption is slow, with vendors prefering to build their own walled gardens and transit agencies lacking the vocabulary or skills to advocate for more open data/tools