> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/deep-dive-into-llms/week-4-prompt-engineering/framework-of-prompting-of-complex-tasks.md).
# TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks
In one interesting paper the authors emphasize the importance of a standardized taxonomy for LLM prompts targeted towards solving complex tasks and, subsequently, provide such a taxonomy, i.e., TELeR, which can be utilized by multiple independent researchers who are conducting such research studies in order to report their results using a single unified standard.
As developers we can look at the best level (i.e. level 6) and use all the listed promt details for our prompts we design for our task.
Image Source: Santu et al. (2023)
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