Hello Raymond,
Thank you for all the knowledge you shared. I have read with attention your embedding course but I can’t find out my answers. I’m sure you got it though 
The course is all about text comparison, proximity… but never about “text generation” based on specific corpus.
I use chatGPT to as questions or summarize articles/books abstracts that i push directly in prompt saying “Please summrize this :” or “according to this text + my question”. And It works pretty fine. But how to do this for 10 to 50k words of context ?
My aim is to prepare multiple datasets about specific subjects (10 to 50k words) and then use GPT for text generation/summarization. Is there a way to do that ?
Thank you very much for you time and interrest !