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GPT-4o-mini

GPT-4o mini is OpenAI’s compact multimodal generative model in the GPT-4o family, designed for cost-efficient and low-latency use.

How 2 Manning books explain it

Spring AI in Action

GPT-4o mini Audio is an OpenAI audio-capable model variant optimized for lower-cost multimodal generation.

How it is used
Supports economical voice interactions that send audio directly to an LLM and receive audio responses.
How deep it goes
Covers model configuration, typed audio records, Media construction, ChatClient integration, and an HTTP endpoint.
Examples
Demonstrates Board Game Buddy answering an MP3 question about Burger Battle through an audio/mpeg endpoint.
What you can do after
Build it from scratch by configuring the preview model and wiring uploaded audio through Spring AI to an audio response.

Read how Spring AI in Action explains GPT-4o-mini →

Hugging Face in Action

gpt-4o-mini is a compact OpenAI multimodal language model designed for capable, cost-efficient generation and chat tasks.

How it is used
Deploys OpenAI-hosted chat generation inside LangChain, LlamaIndex, and data-query workflows.
How deep it goes
Demonstrates package setup, API-key configuration, model parameters, prompt chains, query engines, and generated-code execution.
Examples
Uses Steve Jobs questions, indexed purchase queries, and natural-language filters for birthplace and dates.
What you can do after
Apply it via LangChain or LlamaIndex to build chat chains and question-answering interfaces over indexed or tabular data.

Read how Hugging Face in Action explains GPT-4o-mini →

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.