Prompting
Scaffold (AI)
The surrounding code and infrastructure that turns a raw language model into a useful application.
In depth
The surrounding code and infrastructure that turns a raw language model into a useful application. A scaffold includes the prompt template, retrieval pipeline, tool definitions, output parsing, error handling, retry logic, and user interface. The model is the engine, but the scaffold is the car. Most of the engineering effort in AI applications goes into scaffolding, not model selection.
Example
In practice, developers reach for Scaffold (AI) when they need the capability described above as part of an AI feature or workflow.
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Hands-on guides, comparisons, and tutorials that cover Prompting.
FAQ
Common questions
What is Scaffold (AI)?
The surrounding code and infrastructure that turns a raw language model into a useful application.
Why does Scaffold (AI) matter for AI developers?
Scaffold (AI) sits in the Prompting part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Scaffold (AI)?
Developers Digest publishes tutorials and videos that cover Prompting topics including Scaffold (AI). Check the blog and YouTube channel for hands-on walkthroughs.
Related
Related terms
Prompting
Reward Model
A model trained to give a response a single score that predicts how much a human would prefer it.
Prompting
Jailbreak
A jailbreak is a prompt written to get a model to produce output its safety training is meant to refuse.
Prompting
Few-Shot Learning
A prompting technique where you include a small number of input-output examples in the prompt to show the model the pattern you want it to follow.
Put this concept to work
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