As some of us might be aware that generating content from a large language model like…

Language models at the moment do require a significant amount of power especially during training, but consider this. If you were to run a language model locally on your phone or laptop (which is likely to be the case in the future) it may not require using the internet at all. It may even use less power compared to have your query sent to a search engine server. But to answer your question, at the moment I would only suggest using a language model for language heavy tasks like writing emails and querying information that does not require recalling specific facts.

When choosing between using a language model and a traditional search engine, it's essential to consider the type of query and the desired outcome.

1. Use a language model like ChatGPT when:

• You need help with text generation tasks like writing emails or drafting content.
• You're looking for general information or recommendations that don't require specific or up-to-date facts.
• You want to engage in casual conversations or discussions.
• You need a more human-like, interactive response.

2. Use a traditional search engine when:

• You're seeking specific, accurate, or up-to-date information.
• You want to find source materials, research papers, or detailed explanations.
• You need to explore a variety of sources or compare information.
• You're searching for multimedia content like images, videos, or audio.

As for choosing which language model to use, it depends on the specific use case and the level of sophistication required. For most applications, GPT-3 or GPT-4-based models, like OpenAI's ChatGPT, provide an adequate balance of performance, complexity, and human-like responses. However, smaller models may be more suitable for less demanding tasks or when running on devices with limited resources. You'll want to select a model that best meets your needs, keeping in mind the trade-offs between accuracy, resource consumption, and response quality.