Evaluation of OpenAI o1: Opportunities and Challenges of AGI
网页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 domains, including computer science, mathematics, natural sciences, medicine, linguistics, and social sciences. Through rigorous testing, o1-preview demonstrated remarkable capabilities, often achieving human-level or superior ...
Research | OpenAI
网页Pioneering research on the path to AGI. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission. “Safely aligning powerful AI systems is one of the most important unsolved problems for our mission.
[2303.08774] GPT-4 Technical Report - arXiv.org
网页2023年3月15日 · 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 ...
Extracting Concepts from GPT-4 - OpenAI
网页2024年6月6日 · Our methods scale better than existing work, and we use them to find 16 million features in GPT-4. We are sharing a paper, code, and feature visualizations with the research community to foster further exploration.
Research - OpenAI
网页Explore the research we're conducting to stay at the forefront of AI development and deployment.
Sora: A Review on Background, Technology, Limitations, and ...
网页2024年2月28日 · Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The model is trained to generate videos of realistic or imaginative scenes from text instructions and show...
网页Second, we give a high-level overview of the safety processes OpenAI adopted to prepare GPT-4 for deployment. This spans our work across measurements, model-level changes, product- and system-level interventions (such as monitoring and policies), and external expert engagement.
网页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 universal
Weak-to-strong generalization - OpenAI
网页2023年12月14日 · Today, we are releasing the team’s first paper, which introduces a new research direction for empirically aligning superhuman models. Current alignment methods, such as reinforcement learning from human feedback (RLHF), rely on human supervision.
Training language models to follow instructions with human …
网页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-written prompts and prompts submitted through the OpenAI API, we collect a dataset of labeler demonstrations of the desired model behavior, which we use to fine-tune GPT-3 ...
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