Not everything needs an LLM: A framework for evaluating when AI makes sense

TL;DR


Summary:
- This article discusses the use of AI and large language models (LLMs) in various applications. It suggests that not every task or problem requires an LLM, and provides a framework to evaluate when AI and LLMs are appropriate.
- The article explains that AI and LLMs can be powerful tools, but they may not be the best solution for every problem. The author proposes a set of questions to consider when deciding whether to use AI or a traditional approach.
- The article emphasizes the importance of understanding the strengths and limitations of AI and LLMs, and choosing the right tool for the job. It encourages readers to think critically about the use of AI and to consider alternative solutions when appropriate.

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