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GPT-4

As explained in The AI Pocket Book

An OpenAI large language model used as an example tokenizer and reference for token counts.

GPT-4 is an AI assistant and chatbot used here to generate code from natural-language requests. Its usefulness depends on the task: for common problems, an established library may be simpler, clearer, and more robust. section 4.7

Sun-position calculation

Asked to calculate the sun’s position in Python, GPT-4o produced a complicated 40-line algorithm containing unexplained constants. A focused library provided the same capability through a short installation command and a simple function call. section 4.7

import ai from 'ai-thing';
const Select = ai.gen`
  A select dropdown with these options:
  - Podcast
  - Book
  - Movie
Animate the dropdown to slide down from the top
of the page in a distracting manner.
`;

Compare natural-language UI generation with a conventional Material UI implementation; the AI-generated approach is compact, but the practical gain is small for a common component. section 4.7

How The AI Pocket Book covers it

How deep it goes
Shows generated code and compares its complexity with library usage, but does not explain model internals or tokenization.
Examples
Uses animated dropdown generation and Python sun-position calculation as contrasting code-generation examples.
What it assumes
Assumes familiarity with frontend development, Python, and third-party libraries without teaching those foundations.
What you can do after
Evaluate whether generated code or an existing library is the more practical solution for a task.
How it connects
Connects GPT-4 to AI assistants, chatbots, libraries, frameworks, and code generation.

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Related concepts

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