Create documentation of the guidance features supported by various models / APIs

[nomeyer]

Is your feature request related to a problem? Please describe. This library looks amazing but I'm having trouble understanding which features I can expect to benefit from depending on the LLM model (or model provider) I use. I've looked through the issues but I'm still not clear.

Describe the solution you'd like An addition to the readme: a table listing guidance features as rows, model / model providers as columns, and a ✅ or ❌ as values. For example:

Feature	OpenAI chat models (gpt-3.5-turbo, gpt-4)	OpenAI other models (text-davinci-003)	Hugging Face models
Partial completions in assistant role	❌	N/A	✅

Or some other way of documenting what is & isn't supported depending on the model used 🙂

Describe alternatives you've considered lmql / no alternative

Thank you for your great work!

[marcotcr]

Thanks, this is a good idea, we'll do something like it when we revamp the readme