Improving language model behavior by training on a curated dataset - GPT-3 powers the next generation of apps
- Multimodal neurons in artificial neural networks
- Understanding the capabilities, limitations, and societal impact of large language models
- Scaling Kubernetes to 7,500 nodes
- Generative language modeling for automated theorem proving
- Learning to summarize with human feedback
- OpenAI Scholars 2020: Final projects
- Language models are few-shot learners
- AI and efficiency
- Improving verifiability in AI development
- Scaling laws for neural language models
- Dota 2 with large scale deep reinforcement learning
- Deep double descent
- Benchmarking safe exploration in deep reinforcement learning
- Solving Rubik’s Cube with a robot hand
- Fine-tuning GPT-2 from human preferences
- Emergent tool use from multi-agent interaction
- Testing robustness against unforeseen adversaries
- GPT-2: 6-month follow-up