The article introduces a new approach to code generation by LLMs – a test-based, multi-stage, code-oriented iterative flow, that improves the performances of LLMs on code problems: Code Generation with AlphaCodium – from Prompt Engineering to Flow Engineering
Comparing results to the results obtained with a single well-designed direct prompt shows how AlphaCodium flow consistently and significantly improves the performance of LLMs on CodeContests problems – both for open-source (DeepSeek) and close-source (GPT) models, and for both the validation and test sets.
submitted by /u/thumbsdrivesmecrazy
[link] [comments]
from Software Development – methodologies, techniques, and tools. Covering Agile, RUP, Waterfall + more! https://ift.tt/EUzFQL4