Language models can explain neurons in language models
We use GPT-4 to automatically write explanations for the behavior of neurons in large language models and to score those explanations. We release a dataset of these (imperfect) explanations and scores for every neuron in GPT-2. Language models have become more capable and more broadly deployed, but our understanding of how they work internally is still very limited. For example, it might be diffic
OpenAI Multimodal Research
A long-term objective of artificial intelligence is to build “multimodal” neural networks—AI systems that learn about concepts in several modalities, primarily the textual and visual domains, in order to better understand the world. In our latest research announcements, we present two neural networks that bring us closer to this goal. The first neural network, DALL·E, can successfully turn tex
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https://openai.com/ja-JP/index/introducing-chatgpt-images-2-0/
https://openai.com/index/introducing-gpt-5-5/
https://openai.com/ja-JP/index/inside-our-in-house-data-agent/
https://openai.com/ja-JP/prism/
https://openai.com/ja-JP/index/harness-engineering/
https://openai.com/index/shipping-sora-for-android-with-codex/
https://openai.com/index/prompt-injections/
