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NPHardEval Leaderboard: Unveiling the Reasoning Abilities of Large Language Models through Complexity Classes and Dynamic Updates
2024.02.02읽기
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Building an early warning system for LLM-aided biological threat creation
We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While th…
2024.01.31읽기
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Introducing the Enterprise Scenarios Leaderboard: a Leaderboard for Real World Use Cases
2024.01.31읽기
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The Hallucinations Leaderboard, an Open Effort to Measure Hallucinations in Large Language Models
2024.01.29읽기
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Democratic inputs to AI grant program: lessons learned and implementation plans
We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the innovations, outline our learnings, and call for researchers and engineers to join us as we continue this work.
2024.01.16읽기
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How OpenAI is approaching 2024 worldwide elections
We’re working to prevent abuse, provide transparency on AI-generated content, and improve access to accurate voting information.
2024.01.15읽기
