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O1

o1 is a family of OpenAI reasoning-oriented large language models designed to tackle complex tasks through extended reasoning.

How 2 Manning books explain it

AI for Everyday IT

o1 is an OpenAI reasoning model designed to perform extended analysis for complex technical and logical problems.

How it is used
Handles complex technical problems that require more adaptable analysis than routine maintenance assistants or standard chatbot responses.
How deep it goes
Analyzes a concrete CSS conflict through DOM structure and event bubbling without explaining model internals.
Examples
Uses nested dropdowns and conflicting z-index layers as a technical troubleshooting example.
What you can do after
Diagnose/debug with it by applying methodical analysis to unusual technical problems and checking the proposed solution before deployment.

Read how AI for Everyday IT explains o1 →

Introduction to Generative AI, Second Edition

o1 is OpenAI's language model family trained to perform advanced reasoning through extended problem-solving processes.

How it is used
Positions extended model deliberation as a way to improve mathematical, scientific, and programming performance.
How deep it goes
Explains the reasoning focus and benchmark outcomes but does not detail training or internal implementation mechanisms.
Examples
Uses AIME, GPQA diamond, and competitive programming assessments to illustrate o1’s reported capabilities.
What you can do after
Evaluate/understand o1’s reasoning claims while distinguishing benchmarked code generation from successful software engineering.

Read how Introduction to Generative AI, Second Edition explains o1 →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.