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CodeSignal

Recipe Generation & Extraction with AI and Node.js

via CodeSignal

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Overview

Add intelligence to your app using OpenAI’s SDK. Generate structured recipes from ingredients with prompt templates, call the API, and process outputs. Build a script to extract recipes from messy HTML and store them cleanly.

Syllabus

  • Unit 1: Making Your First LLM Call
    • Initialize OpenAI Client
    • System Prompt Persona Transformation
    • Update User Prompt to Arrow Functions in TypeScript
    • Exploring Temperature Effects on AI Responses
    • Model Selection and Comparison Loop
  • Unit 2: Prompt Templates and Variables
    • Implement loadTemplate Function for Static Prompts
    • Implement renderTemplate Function
    • Implement Custom Variable Substitution in Template Renderer
    • Complete renderPromptFromFile Function
    • Recipe Generator Prompt Template
  • Unit 3: Building the LLM Manager
    • Setup OpenAI Client in LLM Service
    • Implement Prompt Rendering in generateResponse Function
    • Integrate OpenAI Chat Completion in generateResponse
    • Add Robust Error Handling to LLM Manager API Calls
  • Unit 4: AI Recipe Generation
    • Create Prompt Templates for Recipe Generation
    • Implement Input Validation for Recipe Generation Route
    • AI Recipe Generation Integration
    • Implement Recipe Parsing Foundation
    • Implement Recipe Parsing Logic
    • Complete Recipe Generation Endpoint
  • Unit 5: Extracting Recipes from HTML
    • Create Recipe Extraction Prompt Templates
    • Implement the extractRecipeFromHtml Function
    • Implement parseRecipeString Function
    • Implement Recipe Database Storage with Duplicate Check
    • Implement Recipe Extraction CLI

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