> A more recent experiment has been taking all of this above and asking an LLM to find patterns from it. For example, I have 13 years of Kindle notes in a text file. It turns out one of the most beautiful things genAI can do for me is search, group, and surface common themes and ideas among this tiny, personal corpus.
I am curious- do you use `ollama` for these experiments? I have found myself more freely engaging with AI now that I use something local instead of on the cloud. Particularly with my personal notes.
Ollama looks amazing! I have a very very old setup of Llama, which works fine for the personal notes (< 1 Mb in text size) and for Kindle I've just used ChatGPT :D But I'll have to try Ollama now.
Do share your experience! I have been thinking about sharing system prompts for these personal micro use cases. Here are some examples from others (and one of my own).
> A more recent experiment has been taking all of this above and asking an LLM to find patterns from it. For example, I have 13 years of Kindle notes in a text file. It turns out one of the most beautiful things genAI can do for me is search, group, and surface common themes and ideas among this tiny, personal corpus.
I am curious- do you use `ollama` for these experiments? I have found myself more freely engaging with AI now that I use something local instead of on the cloud. Particularly with my personal notes.
Ollama looks amazing! I have a very very old setup of Llama, which works fine for the personal notes (< 1 Mb in text size) and for Kindle I've just used ChatGPT :D But I'll have to try Ollama now.
Do share your experience! I have been thinking about sharing system prompts for these personal micro use cases. Here are some examples from others (and one of my own).
https://github.com/pfrankov/obsidian-local-gpt/discussions/2