How deeply does Generative AI in Action cover semantic function?

Defines the role and orchestration of semantic functions but does not show their prompt definitions or input-parameter syntax.

Semantic function

As explained in Generative AI in Action

A semantic function is a Semantic Kernel callable operation defined by a natural-language prompt and input parameters.

A semantic function is a callable operation in Semantic Kernel, defined through a natural-language prompt and input parameters. It gives an LLM application a way to use capabilities such as database interactions, API calls, or email operations alongside conventional code. section 10.3.3

Semantic Kernel can orchestrate relevant functions toward a goal stated in natural language, rather than requiring developers to choreograph every LLM interaction by hand. For an enterprise workflow, this can reduce integration work, but the resulting application still needs to be scalable, secure, and reliable. section 10.3.3

How Generative AI in Action covers it

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Also explained in

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AI Agents in ActionA semantic function is a function whose behavior is specified by a prompt or profile and executed through interaction with a large language model.

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Related concepts

language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
templateequivalent to · A template is a reusable structure with fixed elements and variable parts for creating or generating similar content, outputs, or artifacts.
native functionuses · A native function is a conventionally programmed function that can be invoked by an orchestration framework or language-model application.
Semantic Kernelproduced by · Semantic Kernel is an open-source Microsoft SDK for building AI applications that integrate language models with application code, plugins, and related capabilities.
metadataproduces · Metadata is information that describes, identifies, or provides context about other data, resources, or artifacts.

This explainer was generated by Manning's knowledge graph from the text of Generative AI in Action. The section links point to the parts of the book it draws on.