GPT-4 Technical Report

Abstract

We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers.

Key Findings

• 1Demonstrated human-level performance on professional exams including the bar exam
• 2Introduced multimodal capabilities accepting both image and text inputs
• 3Showed significant improvements in reasoning and factuality over GPT-3.5
• 4Achieved strong performance across 26 languages
• 5Included extensive safety and alignment work through RLHF

Impact & Significance