무슨 발표인가
- Llama 2 공개(학술·상업용)
- 학습 시 메타 사용자 데이터 미포함
- 프라이버시 미티게이션 추가
원문 (영어)
Today, we’re launching new generative AI features , and like other Meta products, we took steps to protect your privacy and offer greater transparency as we built these exciting new features. We developed privacy mitigations through our privacy review process and external engagements, and below are some helpful details on how we’ve trained our models, how interacting with our conversational AIs is different from interacting with friends or family, and where you can find more information about your privacy and our new generative AI features.
How do we train our generative AI models in a way that respects people’s privacy? Earlier this year, we released our large language model, Llama 2 , for academic and commercial purposes, and we shared specific details on how we trained the foundational models, which didn’t include Meta user data.
The consumer generative AI features we launched today leverage the work we did to build our large language model, and we included additional privacy safeguards and integrity mitigations as we built new models and used information from our products and services.
Generative AI models take a large amount of data to effectively train, so a combination of sources are used for training, including information that’s publicly available online, licensed data and information from Meta’s products and services. For publicly available online information, we filtered the dataset to exclude certain websites that commonly share personal information.
Publicly shared posts from Instagram and Facebook – including photos and text – were part of the data used to train the generative AI models underlying the features we announced at Connect. We didn’t train these models using people’s private posts.
원문: Meta Newsroom — "Privacy Matters: Meta’s Generative AI Features" (2026-06-08) 공식 원문: https://about.fb.com/news/2023/09/privacy-matters-metas-generative-ai-features/
