That seems rather risky, considering that they don’t really check that they output accurate information, and OpenAI specifically recommends against using it for that due to the possibility of their GPT models outputting falsehoods as fact.
If you’re double-checking the sources, both to make sure that they exist, and they are accurate, you may as well do the research without using an LLM in the first place.
You’re just adding to your workload unnecessarily in that case.
The issue with LLMs that I have is that while they are great at certain tasks, they are bad at anything, let’s call it factual, due to their nature.
I can for example use it to quickly draft up a email or a piece of python code, and I can immediately see whether or not the response it generated is actually what I want.
If I go ask it what the hottest day in a given country was or ask it to explain something, I have absolutely no idea whether it’s bullshit or not and I will have to double check it anways.
I think the learning curve with LLMs as a tool is to be able to know when to use it and when to rely on other sources instead.
Google is just working hard to become less useful every day. I tend to use ChatGPT a lot instead of Google.
That seems rather risky, considering that they don’t really check that they output accurate information, and OpenAI specifically recommends against using it for that due to the possibility of their GPT models outputting falsehoods as fact.
As opposed to Google searching manually, which always has accurate outputs and never outputs falsehoods as fact. 🙂
As long as you double check the source of an answer I don’t see an issue.
If you’re double-checking the sources, both to make sure that they exist, and they are accurate, you may as well do the research without using an LLM in the first place.
You’re just adding to your workload unnecessarily in that case.
I’m thinking that double checking is slightly faster than doing the research yourself.
The issue with LLMs that I have is that while they are great at certain tasks, they are bad at anything, let’s call it factual, due to their nature.
I can for example use it to quickly draft up a email or a piece of python code, and I can immediately see whether or not the response it generated is actually what I want.
If I go ask it what the hottest day in a given country was or ask it to explain something, I have absolutely no idea whether it’s bullshit or not and I will have to double check it anways.
I think the learning curve with LLMs as a tool is to be able to know when to use it and when to rely on other sources instead.