The one they use in search is awful, and not the same thing. Also, it’s not all knowing, you gotta treat it like it has no internet access (because generally it doesn’t).
I use it for document summarization and it works well. I use Paperless-ngx to manage documents, and have paperless-ai configured to instantly set the title and tags using Gemini as soon as a new document is added.
I chose Gemini over OpenAI since Google’s privacy policy is better. I’m using the paid version, and Google says data from paid users will never be used to train the model. Unfortunately I don’t have good enough hardware to run a local model.
Gemini 2.5? Low temperature, like 0.2?
The one they use in search is awful, and not the same thing. Also, it’s not all knowing, you gotta treat it like it has no internet access (because generally it doesn’t).
The one they use on gemini.google.com (which is 2.5 right now but was awful in earlier versions too).
Try it here instead, set the temperature to like 0.1 or 0.2, and be sure to set 2.5 Pro:
https://aistudio.google.com/
It is indeed still awful for many things. It’s a text prediction tool, not a magic box, even though everyone advertises it kinda like the later.
I use it for document summarization and it works well. I use Paperless-ngx to manage documents, and have paperless-ai configured to instantly set the title and tags using Gemini as soon as a new document is added.
I chose Gemini over OpenAI since Google’s privacy policy is better. I’m using the paid version, and Google says data from paid users will never be used to train the model. Unfortunately I don’t have good enough hardware to run a local model.