<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
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?<|im_end|>
<|im_start|>assistant
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.<|im_end|>
<|im_start|>user
Yeah but which model?<|im_end|>
<|im_start|>assistant
If you are looking for a language model to use, it really depends on your needs and the resources available to you. The largest models like GPT-3 are very powerful and can generate highly accurate and complex responses, but they require a lot of computational power and can be expensive to use. On the other hand, smaller models like GPT-2 or BERT may be more appropriate for simpler tasks or for individuals who do not have access to high-end hardware. It's important to consider both the capabilities and the cost of the model when deciding which one to use.<|im_end|>