I replaced 50 lines of code with a single LLM prompt
Sep 06, 2023 - haihai.ai
The article discusses the author's experience in using Language Learning Models (LLMs) to solve a complex programming problem - comparing and matching mailing addresses. The author initially attempted to solve the problem using traditional programming methods, but found the edge cases and heuristics to be endless. However, by using LLMs, the author was able to achieve 100% accuracy against the test suite in just a few lines of code and a fraction of the time. The author concludes that LLMs offer a new tool for software developers to approach traditional programming problems, and plans to explore this topic further in future posts.
Key takeaways:
The author shares their experience of using Language Learning Models (LLMs) to solve traditional programming problems, specifically comparing two mailing addresses.
LLMs can be used to replace complex string-matching heuristics, regular expressions, and algorithms with simple API calls, reducing the amount of code and increasing accuracy.
LLMs can be used for flow control in programming, providing deterministic responses and reducing the need for edge case handling and heuristics.
The author suggests that LLMs can be a cost-effective and efficient solution for certain programming problems, particularly those involving string manipulation and where there isn't a clear algorithm or science behind the work.
