Hey everyone, I’m looking for a way to use an open source local large language model (LLM) on Linux, particularly on low-spec hardware like Raspberry Pi, to generate lengthy, coherent stories of 10k+ words from a single prompt. I recall reading about methods described in scientific papers such as “Re3: Generating Longer Stories With Recursive Reprompting and Revision”, announced in this Twitter thread from October 2022 and “DOC: Improving Long Story Coherence With Detailed Outline Control”, announced in this Twitter thread from December 2022. These papers used GPT-3, and since it’s been a while since then, I was hoping there might be something similar made using only open source tools. Does anyone have experience with this or know of any resources that could help me achieve long, coherent story generation with an open source LLM? Any advice or pointers would be greatly appreciated. Thank you!
But that depends what do they need it for
Personally I don’t see a difference between legalese boilerplate and 10k word story. But that discussion might lead us nowhere
The difference is between spewing out functional text for the purpose of covering your ass in court and human creativity.
I have no problem with people using AI to generate Excel sheets, meeting records, summaries of articles… I really, REALLY have a problem with people who ditch what makes us human to the wayside and delegate what is ours and ours alone to do to the machine out of laziness.
But machine will not do the creative part. It can only fill in the time-sinks around our creative ideas. Ask an LLM to tell you a joke no-one has ever heard before and then google it. The creative part still has to come from humans
EDIT; and the truth is that we very rarely come up with something creative. We mostly just recompile previously met combinations