2023年3月15日 · View a PDF of the paper titled GPT-4 Technical Report, by OpenAI and 279 other authors View PDF HTML (experimental) Abstract: We report the development of GPT-4, …
We build our generative models using a technology called deep learning, which leverages large amounts of data to train an AI system to perform a task. Text. Our text models are advanced …
2024年9月27日 · This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple …
2022年3月4日 · In this paper, we show an avenue for aligning language models with user intent on a wide range of tasks by fine-tuning with human feedback. Starting with a set of labeler …
In this paper, we explore a semi-supervised approach for language understanding tasks using a combination of unsupervised pre-training and supervised fine-tuning. Our goal is to learn a …
OpenAI 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 …
In this white paper, we lay out several practices that different actors can implement to mitigate the risk of harm from agentic AI systems, which could serve as building blocks for a set of …
GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 was trained on Microsoft Azure AI supercomputers. Azure’s AI-optimized infrastructure also allows us to …
What follows is a list of papers in deep RL that are worth reading. This is far from comprehensive, but should provide a useful starting point for someone looking to do research in the field. 1. …