What stands out most about Google Programmable Search Engine is how effortless it is to set up, while still delivering the kind of search accuracy you’d expect from Google. It leverages Google’s existing web crawler, to configure or maintain your own server-side search indexes
UI
Verified User in Information Technology and Services
What I like most about Gemma 3n 2B is that it gives me a decent AI experience without needing the kind of resources that larger models usually require. I've mainly used it for experimenting with local AI, simple coding questions, rewriting text, and getting quick explanations.
For smaller tasks, the responses are usually good enough to get me moving. I also like being able to run it locally rather than depending on an API for every little thing. It's useful when I'm testing prompts or just trying to understand how a smaller model handles a particular task.
The setup and interface depend somewhat on the tool you're using to run it, but once I had everything configured, it was fairly straightforward to use. Response speed has also been one of the better parts of the experience for me.
I wouldn't use it for every AI task, but I think it sits in a useful middle ground. It's more capable than the really small models I've tried, while still being practical for local experimentation.