Tutorial su OpenAI

A practical guide to GPT-5 function calling: from JSON-schema functions to free-form tools, Lark/CFG constraints, preambles, and tool allowlists.

A step-by-step guide on fine-tuning the OpenAI GPT-OSS 20B model on the medical question and answer dataset for both accuracy and style adoption.

Explore the latest OpenAI GPT-5 API features with code examples, including reasoning effort, verbosity control, chain-of-thought handoff, freeform input, output constraints, allowed tools, preambles, prompt optimization, and more.

Running GPT-OSS 120B locally, accessing it in a browser using the free chat applications, trying fast and free LLM inference providers, and exploring an LLM marketplace for the best and fastest model access.

Learn how to install, set up, and run GPT-OSS locally with Ollama and build a simple Streamlit application.

Learn what OpenAI's Codex is and how to use it inside ChatGPT to perform coding tasks on a GitHub repository.

Learn how to use the OpenAI O3 API for complex, multi-step problem-solving involving visual and textual input, and manage reasoning costs.

Learn how to generate and edit images with the GPT-Image-1 API, including setup, parameter usage, and practical examples like masking and combining multiple images.

Learn how to use OpenAI's o4-mini API to build a research paper reviewer, enhanced with statistical tools for in-depth analysis.

Explore five practical examples of how to use OpenAI's o3 model within the ChatGPT application.

Learn to use OpenAI Codex CLI to build a website and deploy a machine learning model with a custom user interface using a single command.

Learn how to build an interactive application that enables users to search a code repository using keywords and use GPT-4.1 to analyze, explain, and improve the code in the repository.