Unleash the Power of AI Craft Your Magic with ChatGPT API!
summary
Shows a working backend + frontend demo that calls the ChatGPT REST API, sends JSON arrays of system and user messages, and streams responses via server‑sent events. Explains token limits (about 4,030 for older models, a 16k model for larger context), temperature tuning effects on randomness, and gives a concrete sample query that costs 429 tokens. Uses the OpenAI moderation endpoint (returns a moderation API true/false flag), swaps model by changing a string, and the demo reliably generates styled sports articles.
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chapters (19)
- 0:00Introduction
- 1:29What is AI and GPT models
- 3:38Chinese Room thought experiment
- 5:24GPT’s mental model for devs
- 6:49ChatGPT API key concepts
- 7:30Tokens, temperature basics
- 10:59System messages structure
- 12:27Demo setup overview
- 13:13Backend for ChatGPT
- 14:40Content moderation with OpenAI
- 15:47API request payload
- 16:50Streaming responses & models
- 18:14Reuse API endpoint
- 18:56Live prompt engineering demo
- 20:21Sports stories with AI
- 22:34Prompt engineering testing
- 23:55Third-party model limits
- 24:16Prompt engineering resources
- 25:00Closing remarks
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