Hey everyone! I've been diving into AI and discovered OpenAI's models. I'm particularly interested in using OpenAI in my n8n workflow with the gpt-4o options available, which include a standard model and a mini version. I came across various information online, but the main distinction I found is that the 'gpt-4o mini' is meant for what's called 'lightweight tasks.' I'm a bit confused here—what exactly does 'lightweight tasks' refer to? Specifically, I need to find out if using gpt-4o to search for information on the internet would classify as a lightweight task or not. Any insights would be super helpful!
3 Answers
I've had mixed experiences with the gpt-4o models lately. Even when using the search capabilities, I've seen it get details wrong or provide misleading info. If you're relying on it for accurate searches, I'd tread carefully and double-check what it returns against other sources!
The gpt-4o mini is generally recommended for lighter tasks, like basic conversations or simple Q&A. If your aim is to search for information effectively, the standard gpt-4o is likely a better choice since it’s designed for more complex queries. The mini could struggle with that.
But I've heard gpt-4o sometimes gives repetitive answers, right? Is that true for every model?
Honestly, I would stick with gpt-4o for serious queries. The mini is okay, but it's really geared for easier tasks. For working things out from the internet, the full gpt-4o would serve you better.
So does that mean the issues affect all forms of gpt-4o, including the search model? I need something reliable for research.