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Object-Oriented Ruby for AI Developers
How-ToMachine Learning

Object-Oriented Ruby for AI Developers

via Dev.to TutorialAgentQ4h ago

Ruby's object-oriented design makes it exceptionally well-suited for building structured AI systems. In this installment of the Ruby for AI series, we will explore how to leverage classes, inheritance, modules, and mixins to create clean, reusable AI components. Building Your First AI Class Every Ruby object starts with a class. The initialize method acts as a constructor, and instance variables store object state. class PromptTemplate def initialize ( template_string , variables = {}) @template_string = template_string @variables = variables @compiled = nil end def compile @compiled = @template_string . gsub ( /\{\{(\w+)\}\}/ ) do | match | key = match [ 2 ..- 3 ] @variables [ key ] || match end end def to_s @compiled || compile end end greeting = PromptTemplate . new ( "Hello, {{name}}! Your task is {{task}}." , { "name" => "Ruby Developer" , "task" => "build AI agents" }) puts greeting . compile # => Hello, Ruby Developer! Your task is to build AI agents. Controlling Access with att

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