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CodeSignal

Recipe Generation & Extraction with AI & Codex

via CodeSignal

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Overview

Use Codex to integrate OpenAI-powered recipe generation and extraction into your Flask app. Build prompt templates, reusable LLM utilities, API endpoints, and HTML parsing scripts while learning to guide, test, and improve coding-assistant output.

Syllabus

  • Unit 1: Making Basic LLM Calls
    • Building Your First Complete LLM Call
    • Comparing Models and Temperatures Together
    • Streaming Responses in Real Time
  • Unit 2: Prompt Structure and Variables
    • Building the Complete Prompt System
    • Crafting a Chef Prompt from Scratch
    • Upgrading the Template Engine with Codex
  • Unit 3: Creating the LLM Manager
    • Assembling the Complete LLM Manager
    • Hardening the LLM Manager Against Failures
    • Retrying Transient Failures with Backoff
  • Unit 4: Generating Recipes with AI
    • Wiring Prompts into Your Recipe Route
    • Parsing AI Recipes into Structured Data
    • Hardening Recipe Generation with Cuisine Flair
  • Unit 5: Extracting Recipes from HTML
    • Authoring the Extraction Prompt Templates
    • Wiring the HTML Extraction Pipeline
    • Completing the Recipe Extraction Pipeline
    • Scaling Extraction to Many Pages

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