Generative AI at Meta

Generative AI at Meta is an official overview of Meta’s generative AI research, models, tools, and product capabilities rather than a single standalone subscription. Users and developers should review the specific model or product terms, verify outputs, protect data, test safety and bias, disclose synthetic media where needed, and follow deployment licenses.

Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.

Official research and many model resources are free to access. Consumer, API, cloud, enterprise, infrastructure, and third-party deployment costs depend on the specific Meta product or model.

AI output may be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, commercial rights, professional limits, and platform rules, and require qualified human review for legal, health, employment, code, finance, or other high-impact work.