promptrefiner: Utilizing GPT-4 to Create a Excellent System Immediate for Your Native LLM | by Amirarsalan Rajabi | Apr, 2024


Image created by DALL·E 3
Picture created by DALL·E 3

On this tutorial, we’ll discover promptrefiner: A tiny python software I’ve created to create excellent system prompts on your native LLM, by utilizing the assistance of the GPT-4 mannequin.

The python code on this article is accessible right here:

https://github.com/amirarsalan90/promptrefiner.git

Crafting an efficient and detailed system immediate on your program generally is a difficult course of that usually requires a number of trials and errors, notably when working with smaller LLMs, reminiscent of a 7b language mannequin. which might typically interpret and comply with much less detailed prompts, a smaller giant language mannequin like Mistral 7b could be extra delicate to your system immediate.

Let’s think about a situation the place you’re working with a textual content. This textual content discusses a couple of people, discussing their contributions or roles. Now, you wish to have your native language mannequin, say Mistral 7b, distill this data into a listing of Python strings, every pairing a reputation with its related particulars within the textual content. Take the next paragraph as a case:

Screenshot from the enter textual content. Picture created by the creator

For this instance, I want to have an ideal immediate that leads to the LLM giving me a string like the next:

"""
["Elon Musk: Colonization of Mars", "Stephen Hawking: Warnings about AI", "Greta Thunberg: Environmentalism", "Digital revolution: Technological advancement and existential risks", "Modern dilemma: Balancing ambition with environmental responsibility"]
"""

Once we use an instruction fine-tuned language mannequin (language fashions which can be fine-tuned for interactive conversations), the immediate normally consists of two components: 1)system immediate, and a couple of)person immediate. For this instance, contemplate the next system and person immediate:

Screenshot from system + person immediate. Picture created by the creator

You see the primary a part of this immediate is my system immediate that tells the LLM the right way to generate the reply, and the second half is my person immediate, which is…

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