[D] Code Generation with LLMs Using Flow Engineering

I came across this paper yesterday brought to my attention by Karpathy's retweet.

The paper proposes AlphaCodium, a code-oriented iterative flow that improves LLMs on code generation.

Besides achieving SoTA on a complex code generation dataset, I think the ideas and proposed methodology in this work are a big deal. Here is why:

Many prompting techniques are optimized for natural language tasks but may not be optimal for code generation. AlphaCodium explores beyond traditional prompting (i.e., prompt -> answer), breaks …

attention big big deal code code generation dataset deal engineering flow ideas iterative llms machinelearning methodology paper sota think work