OpenAI trains models like ChatGPT-5 using large-scale datasets from diverse sources, combined with reinforcement learning from human feedback (RLHF) and transformer architectures. The process involves iterative fine-tuning, adversarial testing, and collaboration with researchers to ensure robustness, scalability, and alignment with ethical guidelines for real-world deployment.

Minimum hardware includes a modern CPU with at least 16GB RAM. Recommended setup involves a GPU like NVIDIA RTX 3090 for acceleration. Cloud-based options via Docker containers can reduce local resource demands. Always check repository requirements for specific setups.

GPT-5 focuses on scalability and innovation in text and multimodal tasks, while competitors like Google's Gemini prioritize integration with Google services. Benchmarks may show differences in speed, accuracy, and specialty areas, with GPT-5 aiming for broader application versatility.