OpenAIpaper

由LOuyang著作·2022·被引用4197次—Inthispaper,weshowanavenueforaligninglanguagemodelswithuserintentonawiderangeoftasksbyfine-tuningwithhumanfeedback.,ResearchPapers·WeakToStrongGeneralization·PracticesForGoverningAgenticAISystems·DallE3SystemCard·GPT-VSystemCard·ConfidenceBuilding ...,Webelieveourresearchwilleventuallyleadtoartificialgeneralintelligence,asystemthatcansolvehuman-levelproblems.Bui...

參考資訊如下
Training language models to follow instructions with ...

由 L Ouyang 著作 · 2022 · 被引用 4197 次 — 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.

Research index

Research Papers · Weak To Strong Generalization · Practices For Governing Agentic AI Systems · Dall E 3 System Card · GPT-V System Card · Confidence Building ...

Research

We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial ...

GPT

2023年3月27日 — GPT-4. The InstructGPT paper focuses on training large language models to follow instructions with human feedback. The authors note that making ...

OpenAI

Papers by OpenAI with links to code and results.

[2303.08774] GPT

由 J Achiam 著作 · 2023 · 被引用 16 次 — Title:GPT-4 Technical Report. Authors:OpenAI: Josh Achiam, Steven Adler ... Which authors of this paper are endorsers? | Disable MathJax (What ...

Improving Image Generation with Better Captions

This paper focuses on evaluating the improved prompt following of DALL-E 3 as a result of training on highly descriptive generated captions. It does not ...