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Aligning language models to follow instructions
Aligning language models to follow instructions. OpenAI - artificial intelligence news.
Introducing text and code embeddings
We are introducing embeddings, a new endpoint in the OpenAI API that makes it easy to perform natural…
Text and code embeddings by contrastive pre-training
Text and code embeddings by contrastive pre-training. OpenAI - artificial intelligence news.
Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker
Back to Articles Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker Published…
WebGPT: Improving the factual accuracy of language models through web browsing
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
Customizing GPT-3 for your application
Customizing GPT-3 for your application. OpenAI - artificial intelligence news.
Solving math word problems
We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a…
Summarizing books with human feedback
Summarizing books with human feedback. OpenAI - artificial intelligence news.
TruthfulQA: Measuring how models mimic human falsehoods
TruthfulQA: Measuring how models mimic human falsehoods. OpenAI - artificial intelligence news.
Introducing Triton: Open-source GPU programming for neural networks
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with…
Evaluating large language models trained on code
Evaluating large language models trained on code. OpenAI - artificial intelligence news.
Improving language model behavior by training on a curated dataset
Our latest research finds we can improve language model behavior with respect to specific behavioral values…
GPT-3 powers the next generation of apps
Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other…
Multimodal neurons in artificial neural networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally,…
Understanding the capabilities, limitations, and societal impact of large language models
Understanding the capabilities, limitations, and societal impact of large language models. OpenAI -…
Scaling Kubernetes to 7,500 nodes
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models…
DALL·E: Creating images from text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of…
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural…
Generative language modeling for automated theorem proving
Generative language modeling for automated theorem proving. OpenAI - artificial intelligence news.
Learning to summarize with human feedback
We’ve applied reinforcement learning from human feedback to train language models that are better at…
Procgen and MineRL Competitions
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie…
Language models are few-shot learners
Language models are few-shot learners. OpenAI - artificial intelligence news.
AI and efficiency
We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to…
Improving verifiability in AI development
We’ve contributed to a multi-stakeholder report by 58 co-authors at 30 organizations, including…