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> the fact that I can't tell what they stand to gain from this makes me suspicious. Meta is one of the biggest contributors to FOSS in the world. (React, PyTor
by theptip 2y ago
> the fact that I can't tell what they stand to gain from this makes me suspicious.
Meta is one of the biggest contributors to FOSS in the world. (React, PyTorch, Llama, …). They stand to gain what every big company does, a community contributing to their infra.
You’ll note that nobody is open sourcing their ad recommender, that is the one you should be skeptical about if you ever see. You don’t share your secret sauce.
- schmorptron 2y agoByteDance shared the TikTok content recommender, which I'd argue is somewhat close to an ad recommender :)
- ipsum2 2y agoYou mean the paper, not the source code?
- paxys 2y agoPlus it helps them recruit engineers who are already familiar with their tech stack.
- ipsum2 2y ago> You’ll note that nobody is open sourcing their ad recommender Actually... (2019) https://ai.meta.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/ https://ai.meta.com/blog/dlrm-an-advanced-open-source-deep-l... Source code: https://github.com/facebookresearch/dlrm https://github.com/facebookresearch/dlrm Paper: https://arxiv.org/abs/1906.00091 https://arxiv.org/abs/1906.00091 Updated 2023 blog post, but solely for content recommendation, but ads recommendation is ~90% the same: https://engineering.fb.com/2023/08/09/ml-applications/scaling-instagram-explore-recommendations-system/ https://engineering.fb.com/2023/08/09/ml-applications/scalin... It's a little out of date, but the internal one is built with the same concepts, just more advanced modeling techniques and data.