AI Development
The most capable general-purpose models available at a given time, typically the latest flagship releases from the leading labs.
The most capable general-purpose models available at a given time, typically the latest flagship releases from the leading labs. In AI policy the term is narrower: Anderljung et al. (2023) define frontier AI models as highly capable foundation models that could possess dangerous capabilities sufficient to pose severe risks to public safety. The label is relative, since a model only counts as frontier until newer releases pass it.
Primary source: arxiv.org
Example
In practice, developers reach for Frontier Model when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover AI Development.
FAQ
The most capable general-purpose models available at a given time, typically the latest flagship releases from the leading labs.
Frontier Model sits in the AI Development part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover AI Development topics including Frontier Model. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A model trained on broad data at scale that can be adapted to many downstream tasks through prompting or fine-tuning.
The Responsible Scaling Policy (RSP) is Anthropic's public framework for managing catastrophic risks as its models become more capable.
A model card is a short document published with a trained machine learning model that explains its intended uses, its limitations, and how it performs across different conditions and groups.

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