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A research agenda for assessing the economic impacts of code generation models

Lessons learned on language model safety and misuse

Economic impacts research at OpenAI

Solving (some) formal math olympiad problems

Aligning language models to follow instructions

Introducing text and code embeddings

Text and code embeddings by contrastive pre-training

Text and code embeddings by contrastive pre-training

WebGPT: Improving the factual accuracy of language models through web browsing

Customizing GPT-3 for your application

OpenAI Residency

OpenAI’s API now available with no waitlist

Solving math word problems

Summarizing books with human feedback

TruthfulQA: Measuring how models mimic human falsehoods

Helen Toner joins OpenAI’s board of directors

Introducing Triton: Open-source GPU programming for neural networks

Evaluating large language models trained on code

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