Prompt Engineering Guide for Open LLM: Take Your Open LLM Application to the Next Level | by Timothy Lim | Jan, 2024

1 min read


● The blog addresses prompt engineering for open-source Language Model Models (Open LLMs) within the parameter range of 3 to 70 billion.
● Open LLMs are incomparable to closed-source counterparts, especially when better reasoning capabilities are necessary for the task.
● The capability to follow general instructions in open-source LLMs is not as good as closed-source models.
● The blog cites the example of Retrieval Augmented Generation (RAG) LLM applications, highlighting the differences in performance between open-source and closed-source models.
● Open-source models cannot compete with closed-source models on the same prompt.

Author: Timothy Lim
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