As some of us might be aware that generating content from a large language model like ChatGPT is extremely energy consuming and the climate change is around the corner, can you give some suggestion on when to use such large language models and when to search the traditional search engine to find answer of some question?
I would say that instruction tuned LLMs are better for subjective, generative content, such as text conversion or creative writing tasks. 

For fact-based tasks where there is one correct solution, traditional search engine would still come out on top on efficiency due to LLMs' tendency to hallucinate.
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### Instruction:

As some of us might be aware that generating content from a large language model like ChatGPT is extremely energy consuming and the climate change is around the corner, can you give some suggestion on when to use such large language models and when to search the traditional search engine to find answer of some question?

### Response:

I would say that instruction tuned LLMs are better for subjective, generative content, such as text conversion or creative writing tasks. 

For fact-based tasks where there is one correct solution, traditional search engine would still come out on top on efficiency due to LLMs' tendency to hallucinate.
