Meta AI is not disclosed as a standalone profit center; Meta uses AI to improve advertising, engagement and product quality while its existing businesses fund enormous infrastructure spending.
Meta AI's TransCoder applied unsupervised machine translation to source code, learning to translate functions among C++, Java and Python without relying on a large parallel corpus of aligned programs.
Meta AI's InCoder trained a generative model to fill missing regions using both left and right context, helping establish infilling as a core capability for code editing rather than simple end-of-file completion.
Meta's 2023 Code Llama release showed how a general foundation model could be further trained into code-specialized, Python-specialized and instruction-following variants with infilling support.