GPT-4 Technical Report

arXiv:2303.08774v5 Announce Type: replace
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. GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. The post-training alignment process results …

abstract academic arxiv benchmarks cs.ai cs.cl development exam gpt gpt-4 human humans image inputs multimodal multimodal model performance professional report scale technical text type world