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?
user
Here are a few suggestions:

- Use traditional search engines when you need a quick and simple answer to a question. This is especially true if the question is straightforward and does not require a deep understanding of the topic.

- Consider using a large language model when you need a more detailed or nuanced answer. Large language models are particularly useful for complex or open-ended questions that require a deeper level of analysis.

- Be mindful of the environmental impact of using large language models. Consider whether the benefits of using a large language model outweigh the potential environmental costs. For example, if you are using a large language model to generate content for a blog post, ask yourself whether the content could be generated through other means, such as hiring a freelance writer.

Ultimately, the decision to use a large language model versus a traditional search engine will depend on the specific context and requirements of the task at hand. It is important to weigh the potential benefits and drawbacks of each approach and make an informed decision.
assistant
Let's say I want to find solution for a coding problem that is neither very specific nor vary generic. There is a chance, that if I serch using traditional means I can get my answer in top 10 search results. But I feel that this chance is somewhere around 50%. I want to spend minimal amount of time searching for result. Are there any recommendations whether I should use traditional search or large language model in such case?
user